Name: Web Hacking: Become a Professional Web Pentester
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<strong>This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.</strong>
        <p>AZ-900 Azure fundamentals exam is intended for candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, as well as those with a technical background who have a need to validate their foundational-level knowledge around cloud services and Azure. 

This course starts off by setting up a blueprint of what the course covers and how you will travel through the concepts. You will begin by exploring the benefits of cloud services and how as-a-service offerings function. You will further cover cloud models and core Azure architectural components. In the concluding modules, you will understand the Internet of Things (IoT) on Azure along with monitoring tools in Azure. 

There are four main parts to the course, first, you will learn cloud concepts, followed by acquiring core Azure services. Then, you will learn security, privacy, compliance, and trust in Azure. Finally, you will look at Azure pricing and support. 

The course comes bundled with Azure real-world examples to help you master Microsoft Azure at the same time help you in clearing the AZ-900 exam. 

By the end of this course, you will become skilled enough to confidently appear and pass the Microsoft Azure fundamentals examination in your first attempt.

All the resources are available on the GitHub repository at: https://github.com/PacktPublishing/AZ-900-Microsoft-Azure-Fundamentals-Exam-Quick-Prep</p>
        <h2>What You Will Learn</h2><p>Get well-versed with core Azure services and architecture components<br>Deploy an Azure virtual network, use Azure load balancer and VPN gateway<br>Provision a storage account and an Azure file share<br>Implement Azure database migration services<br>Understand Azure pricing and support options in Azure Cloud<br>Understand security, privacy, compliance, and trust in Azure</p>
        <h2>Audience</h2><p>The course is intended for a broader audience to help them learn Azure concepts quickly, crack the AZ-900 certificate exam, and earn the badge students willing to get certified from Microsoft, anyone who wants to build carrier in cloud Services, IT employees seeking promotion in their current role, a system administrator who are using cloud services in their day-to-day life, technology lovers who want to learn the latest technology and keep themselves up to date, will be highly benefitted from this course.<br><br>The zeal to learn new concepts and stay up to date are the only prerequisites required.</p>
        <h2>Approach</h2><p>The course is intended to help you learn Azure concepts quickly and give enough practice exercises which come under the curriculum of the AZ-900 Microsoft Azure fundamentals exam. You can crack this AZ-900 certificate exam and earn the badge with the help of this course.</p>
        <h2>Key Features</h2><p>Get to grips with Azure fundamental concepts in an engaging and quick way * Filled with real-world examples to help you master Microsoft Azure and clear the AZ-900 exam easily * Prepare for the Microsoft AZ-900 Azure certification exam with real-world scenarios to help you master Azure</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/az-900-microsoft-azure-fundamentals-exam-quick-prep</p>
        <h2>About the Author</h2><h3>Vijay Saini</h3><p>Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team.

Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction and Structure</p><p style='margin: 0'>This video provides an introduction to the course and its structure.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Exam AZ-900: Microsoft Azure Fundamentals</p><p style='margin: 0'>This video briefs you about AZ-900: Microsoft Azure fundamentals exam.</p></td></tr></tbody></table><br><h4>2. Getting Started with Azure</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How to Create your Free Azure Account</p><p style='margin: 0'>This video demonstrates how to create your free Azure account.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure Portal Walk-Through</p><p style='margin: 0'>This video shows the walk-through of Azure portal.</p></td></tr></tbody></table><br><h4>3. Understanding Cloud Computing Concepts</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Introduction</p><p style='margin: 0'>This video provides an introduction to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Essential Cloud Terminology</p><p style='margin: 0'>This video gets you acquainted with essential cloud terminology.</p></td></tr><tr><td style='padding: 15px;'><p>3. What is Cloud</p><p style='margin: 0'>This video provides an overview of cloud and standard definition for the same.</p></td></tr><tr><td style='padding: 15px;'><p>4. Why Cloud? Benefits and Considerations of Using Cloud Services</p><p style='margin: 0'>This video explains why cloud is important and what are the benefits and considerations of using cloud services. You will also look at advantages and disadvantages of using cloud.</p></td></tr><tr><td style='padding: 15px;'><p>5. Different Cloud Deployment Models</p><p style='margin: 0'>This video shows different cloud deployment models.</p></td></tr><tr><td style='padding: 15px;'><p>6. Different Cloud Service Models</p><p style='margin: 0'>This video talks about different cloud service models. You will also learn what and all type of cloud services are out there which you can use as per your requirement.</p></td></tr></tbody></table><br><h4>4. Core Architectural Components of Azure</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure Subscriptions</p><p style='margin: 0'>This video talks and demonstrates Azure Subscriptions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure Management Groups</p><p style='margin: 0'>This video talks about the Azure Management Groups.</p></td></tr><tr><td style='padding: 15px;'><p>3. Resource Group</p><p style='margin: 0'>This video explains resource group.</p></td></tr></tbody></table><br><h4>5. Understand Core Azure Services - Compute</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Core Azure Products - Compute</p><p style='margin: 0'>This video explains core Azure products - compute.</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Virtual Machine (Basic Options)</p><p style='margin: 0'>This video helps you create a virtual machine (basic options).</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a Virtual Machine (Advanced Options)</p><p style='margin: 0'>This video helps you create a virtual machine (advanced options).</p></td></tr><tr><td style='padding: 15px;'><p>4. Virtual Machine Walkthrough</p><p style='margin: 0'>This video focuses on virtual machine walkthrough.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating a Virtual Machine Using Azure PowerShell</p><p style='margin: 0'>This video focuses on creating a virtual machine using Azure PowerShell.</p></td></tr></tbody></table><br><h4>6. Core Azure Products - Compute (App Service and Serverless Computing)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure Container Instances</p><p style='margin: 0'>This video explains the Azure Container instances.</p></td></tr><tr><td style='padding: 15px;'><p>2. Serverless Computing</p><p style='margin: 0'>This video talks about serverless computing.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introduction to Azure App Service</p><p style='margin: 0'>This video provides an introduction to Azure App Service.</p></td></tr><tr><td style='padding: 15px;'><p>4. Brief Overview of Azure App Service</p><p style='margin: 0'>This video provides a brief overview of Azure App Service.</p></td></tr></tbody></table><br><h4>7. Understand Core Azure Services - Networking Services</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Core Azure Architectural Components</p><p style='margin: 0'>This video explains the core Azure architectural components.</p></td></tr><tr><td style='padding: 15px;'><p>2. Core Azure Products - Networking</p><p style='margin: 0'>This video talks about core Azure products - networking.</p></td></tr><tr><td style='padding: 15px;'><p>3. Securing Network Connectivity</p><p style='margin: 0'>This video talks about securing network connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>4. Azure DNS</p><p style='margin: 0'>This video talks about Azure DNS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Virtual Network Gateway and VNET Peering</p><p style='margin: 0'>This video talks about the Virtual Network Gateway and VNET Peering.</p></td></tr></tbody></table><br><h4>8. Understand Core Azure Services - Storage</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Core Azure Products - Storage</p><p style='margin: 0'>This video explains the core Azure products - storage.</p></td></tr><tr><td style='padding: 15px;'><p>2. Core Azure Products - Database</p><p style='margin: 0'>This video explains core Azure products - database.</p></td></tr><tr><td style='padding: 15px;'><p>3. Importance of Storage</p><p style='margin: 0'>This video talks about the importance of storage.</p></td></tr><tr><td style='padding: 15px;'><p>4. Create Storage Account</p><p style='margin: 0'>This video helps create a storage account.</p></td></tr><tr><td style='padding: 15px;'><p>5. Understanding Storage Redundancy Options</p><p style='margin: 0'>This video helps us with understanding storage redundancy options.</p></td></tr><tr><td style='padding: 15px;'><p>6. Introduction to Azure File Sync</p><p style='margin: 0'>This video provides an introduction to Azure File Sync.</p></td></tr><tr><td style='padding: 15px;'><p>7. AzCopy</p><p style='margin: 0'>This video explains AzCopy.</p></td></tr><tr><td style='padding: 15px;'><p>8. Shared Access Keys</p><p style='margin: 0'>This video explains about shared access keys.</p></td></tr><tr><td style='padding: 15px;'><p>9. Shared Access Signature</p><p style='margin: 0'>This video explains about the shared access signature.</p></td></tr></tbody></table><br><h4>9. Azure Identity, Access, and Security</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Core Identity Services</p><p style='margin: 0'>This video explains the core identity services.</p></td></tr><tr><td style='padding: 15px;'><p>2. Zero Trust Model</p><p style='margin: 0'>This video explains the zero trust model.</p></td></tr><tr><td style='padding: 15px;'><p>3. Defense in depth</p><p style='margin: 0'>This video talks about defense in depth.</p></td></tr></tbody></table><br><h4>10. Cost Management in Azure</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Factors that Affect Cost in Azure</p><p style='margin: 0'>This video explains what are the factors that affect cost in Azure.</p></td></tr><tr><td style='padding: 15px;'><p>2. Pricing Calculator and the Total Cost of Ownership (TCO) Calculator</p><p style='margin: 0'>This video demonstrates the pricing calculator and the Total Cost of Ownership (TCO) calculator.</p></td></tr><tr><td style='padding: 15px;'><p>3. Use Azure Cost Management + Billing to Control Spending</p><p style='margin: 0'>This video talks about the use of Azure cost management + billing to control spending.</p></td></tr><tr><td style='padding: 15px;'><p>4. Purpose of Tags in Azure</p><p style='margin: 0'>This video talks about the purpose of tags in Azure.</p></td></tr></tbody></table><br><h4>11. Azure for Governance and Compliance</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure Governance Methodologies</p><p style='margin: 0'>This video talks about the Azure governance methodologies.</p></td></tr><tr><td style='padding: 15px;'><p>2. Security Tools and Features of Azure</p><p style='margin: 0'>This video talks about the security tools and features of Azure.</p></td></tr></tbody></table><br><h4>12. Features and Tools for Managing and Deploying Azure Resources</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure Management Tools</p><p style='margin: 0'>This video talks about the Azure management tools.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Is Azure Resource Manager?</p><p style='margin: 0'>This video talks about the Azure Resource Manager.</p></td></tr><tr><td style='padding: 15px;'><p>3. ARM Template Overview</p><p style='margin: 0'>This video provides an overview of the ARM Templates, and you will explore it further to understand what lies in the future of it.</p></td></tr></tbody></table><br><h4>13. Monitoring Tools in Azure</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Monitoring and Reporting Options in Azure</p><p style='margin: 0'>This video helps us with monitoring and reporting options in Azure.</p></td></tr></tbody></table>

Packt

Cloud Computing

Microsoft

Microsoft Azure

This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.

AZ-900 Microsoft Azure Fundamentals Exam Quick Prep

General Admission

<strong>Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis</strong>
        <p>In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in Python, you can give your company a competitive edge and level up in your career. This course will give you a robust grounding in clustering and classification, the main aspects of machine learning.

The course consists of 7 sections that will help you master Python machine learning. You'll begin with an introduction to Python data science and Anaconda, which is a powerful Python-driven framework for data science. Next, you'll delve into Pandas and read data structures, including CSV, Excel, and HTML data. As you advance, you'll perform data cleaning and munging to remove NAs\no data and discover how to handle conditional data, group by attributes, and do much more. You'll also grasp basic concepts of unsupervised learning such as K-means clustering and its implementation on the Iris dataset. The course will take you through the theory of dimension reduction and feature selection for machine learning and help you understand Principal Component Analysis (PCA) using two case studies. You'll get to grips with the linear and non-linear classification of SVM along with Gradient Boosting Machine (GBM) and Naive Bayes Classification. Finally, you'll explore neural networks and discover the powerful H20 framework and for deep learning classification. Additionally, you'll learn about perceptrons and Artificial Neural Networks (ANN) for binary classification.
By the end of this course, you'll be able to use packages such as NumPy, Pandas, and Matplotlib to work with real data in Python.

All code and supporting files for this course are available at 
https://github.com/sanjanapackt/PacktPublishing-Clustering-and-Classification-with-Machine-Learning-in-Python.</p>
        <h2>What You Will Learn</h2><p>Harness the power of Anaconda/iPython for practical data science<br>Read data into the Python environment from different sources<br>Carry out basic data preprocessing and wrangling in Python<br>Implement unsupervised/clustering techniques such as k-means clustering<br>Get to grips with dimensionality reduction techniques and feature selection<br>Implement supervised learning/classification techniques such as random forests<br>Explore neural network- and deep learning-based classification<br></p>
        <h2>Audience</h2><p>If you want to build data science applications in the Python environment, this book is for you. You'll also find this book helpful if you want to learn how to implement unsupervised learning on real data using Python, or if you're a student looking to get started with artificial neural networks and deep learning.</p>
        <h2>Approach</h2><p>This course is full of interesting and illustrative examples and easy-to-understand theory to help you implement a real-world concept in every lecture. It covers hands-on methods to simplify and address even the most difficult concepts in Python using minimal jargon.</p>
        <h2>Key Features</h2><p>Explore the most important Python data science concepts and packages, including Pandas * Master the Anaconda framework and use it to implement clustering and classification models on your data * Get to grips with data science fundamentals and understand which models should be used when * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Clustering & Classification with Machine Learning in Python</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Welcome to Clustering & Classification with Machine Learning in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Machine Learning?</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: What is Machine Learning?</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Data Science Environment</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Environment</p></td></tr><tr><td style='padding: 15px;'><p>4. For Mac Users</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: For Mac Users</p></td></tr><tr><td style='padding: 15px;'><p>5. IPython in Browser</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: IPython in Browser</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Data Science Packages to Be Used</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Packages to Be Used</p></td></tr></tbody></table><br><h4>2. Read in Data from Different Sources with Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are Pandas?</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: What are Pandas?</p></td></tr><tr><td style='padding: 15px;'><p>2. Read in Data from CSV</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Data from CSV</p></td></tr><tr><td style='padding: 15px;'><p>3. Read in Online CSV</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Online CSV</p></td></tr><tr><td style='padding: 15px;'><p>4. Read in Excel Data</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Excel Data</p></td></tr><tr><td style='padding: 15px;'><p>5. Read in HTML Data</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in HTML Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Read in Data from Databases</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Data from Databases</p></td></tr></tbody></table><br><h4>3. Data Cleaning & Munging</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Remove Missing Values</p><p style='margin: 0'>Data Cleaning & Munging: Remove Missing Values</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Data Selection</p><p style='margin: 0'>Data Cleaning & Munging: Conditional Data Selection</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Grouping</p><p style='margin: 0'>Data Cleaning & Munging: Data Grouping</p></td></tr><tr><td style='padding: 15px;'><p>4. Data Sub setting</p><p style='margin: 0'>Data Cleaning & Munging: Data sub setting</p></td></tr><tr><td style='padding: 15px;'><p>5. Ranking & Sorting</p><p style='margin: 0'>Data Cleaning & Munging: Ranking & Sorting</p></td></tr><tr><td style='padding: 15px;'><p>6. Concatenate</p><p style='margin: 0'>Data Cleaning & Munging: Concatenate</p></td></tr><tr><td style='padding: 15px;'><p>7. Merging & Joining Data Frames</p><p style='margin: 0'>Data Cleaning & Munging: Merging & Joining Data Frames</p></td></tr></tbody></table><br><h4>4. Unsupervised Learning in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Unsupervised Classification- Some Basic Concepts</p><p style='margin: 0'>Unsupervised Learning in Python: Unsupervised Classification- Some Basic Concepts</p></td></tr><tr><td style='padding: 15px;'><p>2. K-Means Clustering: Theory</p><p style='margin: 0'>Unsupervised Learning in Python: K-Means Clustering: Theory</p></td></tr><tr><td style='padding: 15px;'><p>3. Implement K-Means on the Iris Data</p><p style='margin: 0'>Unsupervised Learning in Python: Implement K-Means on the Iris Data</p></td></tr><tr><td style='padding: 15px;'><p>4. Quantifying K-Means Clustering Performance</p><p style='margin: 0'>Unsupervised Learning in Python: Quantifying K-Means Clustering Performance</p></td></tr><tr><td style='padding: 15px;'><p>5. K-Means Clustering with Real Data</p><p style='margin: 0'>Unsupervised Learning in Python: K-Means Clustering with Real Data</p></td></tr><tr><td style='padding: 15px;'><p>6. How to Select the Optimal Number of Clusters?</p><p style='margin: 0'>Unsupervised Learning in Python: How to Select the Optimal Number of Clusters?</p></td></tr><tr><td style='padding: 15px;'><p>7. Gaussian Mixture Modelling (GMM)</p><p style='margin: 0'>Unsupervised Learning in Python: Gaussian Mixture Modelling (GMM)</p></td></tr><tr><td style='padding: 15px;'><p>8. Hierarchical Clustering-theory</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-theory</p></td></tr><tr><td style='padding: 15px;'><p>9. Hierarchical Clustering-practical</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr></tbody></table><br><h4>5. Dimension Reduction & Feature Selection for Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Principal Component Analysis (PCA)-Theory</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Theory</p></td></tr><tr><td style='padding: 15px;'><p>2. Principal Component Analysis (PCA)-Case Study 1</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 1</p></td></tr><tr><td style='padding: 15px;'><p>3. Principal Component Analysis (PCA)-Case Study 2</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 2</p></td></tr><tr><td style='padding: 15px;'><p>4. Linear Discriminant Analysis (LDA) for Dimension Reduction</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Linear Discriminant Analysis (LDA) for Dimension Reduction</p></td></tr><tr><td style='padding: 15px;'><p>5. t-SNE Dimension Reduction</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: t-SNE Dimension Reduction</p></td></tr><tr><td style='padding: 15px;'><p>6. Feature Selection to Select the Most Relevant Predictors</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Feature Selection to Select the Most Relevant Predictors</p></td></tr><tr><td style='padding: 15px;'><p>7. Recursive Feature Elimination (RFE)</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Recursive Feature Elimination (RFE)</p></td></tr></tbody></table><br><h4>6. Supervised Learning: Classification</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Concepts Behind Supervised Learning</p><p style='margin: 0'>Supervised Learning: Classification: Concepts Behind Supervised Learning</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Preparation for Supervised Learning</p><p style='margin: 0'>Supervised Learning: Classification: Data Preparation for Supervised Learning</p></td></tr><tr><td style='padding: 15px;'><p>3. Pointers on Evaluating the Accuracy of Classification Modelling</p><p style='margin: 0'>Supervised Learning: Classification: Pointers on Evaluating the Accuracy of Classification Modelling</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Logistic Regression as a Classification Model</p><p style='margin: 0'>Supervised Learning: Classification: Using Logistic Regression as a Classification Model</p></td></tr><tr><td style='padding: 15px;'><p>5. kNN- Classification</p><p style='margin: 0'>Supervised Learning: Classification: kNN- Classification</p></td></tr><tr><td style='padding: 15px;'><p>6. Naive Bayes Classification</p><p style='margin: 0'>Supervised Learning: Classification: Naive Bayes Classification</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Discriminant Analysis</p><p style='margin: 0'>Supervised Learning: Classification: Linear Discriminant Analysis</p></td></tr><tr><td style='padding: 15px;'><p>8. SVM- Linear Classification</p><p style='margin: 0'>Supervised Learning: Classification: SVM- Linear Classification</p></td></tr><tr><td style='padding: 15px;'><p>9. Non-Linear SVM Classification</p><p style='margin: 0'>Supervised Learning: Classification: Non-Linear SVM Classification</p></td></tr><tr><td style='padding: 15px;'><p>10. RF-Classification</p><p style='margin: 0'>Supervised Learning: Classification: RF-Classification</p></td></tr><tr><td style='padding: 15px;'><p>11. Gradient Boosting Machine (GBM)</p><p style='margin: 0'>Supervised Learning: Classification: Gradient Boosting Machine (GBM)</p></td></tr><tr><td style='padding: 15px;'><p>12. Voting Classifier</p><p style='margin: 0'>Supervised Learning: Classification: Voting Classifier</p></td></tr></tbody></table><br><h4>7. Neural Networks and Deep Learning Based Classification Techniques</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Perceptrons for Binary Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Perceptrons for Binary Classification</p></td></tr><tr><td style='padding: 15px;'><p>2. Artificial Neural Networks (ANN) for Binary Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Artificial Neural Networks (ANN) for Binary Classification</p></td></tr><tr><td style='padding: 15px;'><p>3. Multi-class Classification With MLP</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Multi-class Classification With MLP</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to H20</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Introduction to H20</p></td></tr><tr><td style='padding: 15px;'><p>5. Use H20 for Deep Learning Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Use H20 for Deep Learning Classification</p></td></tr><tr><td style='padding: 15px;'><p>6. H20 Deep Learning for Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: H20 Deep Learning for Classification</p></td></tr></tbody></table>

Python

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

Clustering and Classification with Machine Learning in Python

<strong>Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R</strong>
        <p>With so many R Statistics and Machine Learning courses around, why enroll for this?

Regression analysis is one of the central aspects of both Statistics and Machine Learning based analysis. This course will teach you Regression analysis for both Statistical data analysis and ML in R. It explores relevant concepts in a practical way, from basic to expert level. This course can help you achieve better grades, gain new analysis tools for your academic career, implement your knowledge in a work setting, and make business forecasting-related decisions. You will go all the way from implementing and inferring simple OLS (Ordinary Least Square) regression models to dealing with issues of multicollinearity in regression to ML based regression models.

Become a Regression analysis expert and harness the power of R for your analysis

&bull; Get started with R and RStudio. Install these on your system, learn to load packages, and read in different types of data in R
&bull; Carry out data cleaning and data visualization using R
&bull; Implement Ordinary Least Square (OLS) regression in R and learn how to interpret the results.
&bull; Learn how to deal with multicollinearity both through the variable selection and regularization techniques such as ridge regression
&bull; Carry out variable and regression model selection using both statistical and machine learning techniques, including using cross-validation methods.
&bull; Evaluate the regression model accuracy
&bull; Implement Generalized Linear Models (GLMs) such as logistic regression and Poisson regression. Use logistic regression as a binary classifier to distinguish between male and female voices.
&bull; Use non-parametric techniques such as Generalized Additive Models (GAMs) to work with non-linear and non-parametric data.
&bull; Work with tree-based ML models

All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Regression-Analysis-for-Statistics-and-Machine-Learning-in-R</p>
        <h2>What You Will Learn</h2><p>Implement and infer Ordinary Least Square (OLS) regression using R<br>Apply statistical and ML based regression models to deal with problems such as multicollinearity<br>Carry out the variable selection and assess model accuracy using techniques such as cross-validation<br>Implement and infer Generalized Linear Models (GLMs), including using logistic regression as a binary classifier</p>
        <h2>Audience</h2><p>This course is for students interested in getting started with data science applications in the RStudio environment. Students wishing to learn to implement statistical modeling techniques for regression analysis on real data. Anyone with prior exposure to R who wants to get started with practical data science.</p>
        <h2>Approach</h2><p>This is a practical, hands-on course. We will spend some time dealing with some theoretical concepts related to both statistical and machine learning regression analysis. However, the majority of the course will focus on implementing different techniques on real data and interpreting the results. After each video, you will learn a new concept or technique which you can apply to your own projects.</p>
        <h2>Key Features</h2><p>Provided practical indepth training for you to get started with R * Perform some of the most common advanced regression analysis-based techniques * Use R to perform different statistical and machine learning data analysis and visualization tasks</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/regression-analysis-for-statistics-and-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Get Started with Practical Regression Analysis in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</p></td></tr><tr><td style='padding: 15px;'><p>2. Difference Between Statistical Analysis & Machine Learning</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Difference Between Statistical Analysis &amp; Machine Learning</p></td></tr><tr><td style='padding: 15px;'><p>3. Getting Started with R and R Studio</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Getting Started with R and R Studio</p></td></tr><tr><td style='padding: 15px;'><p>4. Reading in Data with R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Reading in Data with R</p></td></tr><tr><td style='padding: 15px;'><p>5. Data Cleaning with R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Data Cleaning with R</p></td></tr><tr><td style='padding: 15px;'><p>6. Some More Data Cleaning with R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Some More Data Cleaning with R</p></td></tr><tr><td style='padding: 15px;'><p>7. Basic Exploratory Data Analysis in R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Basic Exploratory Data Analysis in R</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Ordinary Least Square Regression Modelling</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. OLS Regression- Theory</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: OLS Regression- Theory</p></td></tr><tr><td style='padding: 15px;'><p>2. OLS-Implementation</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: OLS-Implementation</p></td></tr><tr><td style='padding: 15px;'><p>3. More on Result Interpretations</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: More on Result Interpretations</p></td></tr><tr><td style='padding: 15px;'><p>4. Confidence Interval-Theory</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Confidence Interval-Theory</p></td></tr><tr><td style='padding: 15px;'><p>5. Calculate the Confidence Interval in R</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Calculate the Confidence Interval in R</p></td></tr><tr><td style='padding: 15px;'><p>6. Confidence Interval and OLS Regressions</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Confidence Interval and OLS Regressions</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Regression without Intercept</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Linear Regression without Intercept</p></td></tr><tr><td style='padding: 15px;'><p>8. Implement ANOVA on OLS Regression</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Implement ANOVA on OLS Regression</p></td></tr><tr><td style='padding: 15px;'><p>9. Multiple Linear Regression</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Multiple Linear Regression</p></td></tr><tr><td style='padding: 15px;'><p>10. Multiple Linear regression with Interaction and Dummy Variables</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Multiple Linear regression with Interaction and Dummy Variables</p></td></tr><tr><td style='padding: 15px;'><p>11. Some Basic Conditions that OLS Models Have to Fulfill</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Some Basic Conditions that OLS Models Have to Fulfill</p></td></tr><tr><td style='padding: 15px;'><p>12. Conclusions to Section 2</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Deal with Multicollinearity in OLS Regression Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Identify Multicollinearity</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Identify Multicollinearity</p></td></tr><tr><td style='padding: 15px;'><p>2. Doing Regression Analyses with Correlated Predictor Variables</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Doing Regression Analyses with Correlated Predictor Variables</p></td></tr><tr><td style='padding: 15px;'><p>3. Principal Component Regression in R</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Principal Component Regression in R</p></td></tr><tr><td style='padding: 15px;'><p>4. Partial Least Square Regression in R</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Partial Least Square Regression in R</p></td></tr><tr><td style='padding: 15px;'><p>5. Ridge Regression in R</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Ridge Regression in R</p></td></tr><tr><td style='padding: 15px;'><p>6. LASSO Regression</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: LASSO Regression</p></td></tr><tr><td style='padding: 15px;'><p>7. Conclusion to Section 3</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Variable & Model Selection</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why Do Any Kind of Selection?</p><p style='margin: 0'>Variable &amp; Model Selection: Why Do Any Kind of Selection?</p></td></tr><tr><td style='padding: 15px;'><p>2. Select the Most Suitable OLS Regression Model</p><p style='margin: 0'>Variable &amp; Model Selection: Select the Most Suitable OLS Regression Model</p></td></tr><tr><td style='padding: 15px;'><p>3. Select Model Subsets</p><p style='margin: 0'>Variable &amp; Model Selection: Select Model Subsets</p></td></tr><tr><td style='padding: 15px;'><p>4. Machine Learning Perspective on Evaluate Regression Model Accuracy</p><p style='margin: 0'>Variable &amp; Model Selection: Machine Learning Perspective on Evaluate Regression Model Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>5. Evaluate Regression Model Performance</p><p style='margin: 0'>Variable &amp; Model Selection: Evaluate Regression Model Performance</p></td></tr><tr><td style='padding: 15px;'><p>6. LASSO Regression for Variable Selection</p><p style='margin: 0'>Variable &amp; Model Selection: LASSO Regression for Variable Selection</p></td></tr><tr><td style='padding: 15px;'><p>7. Identify the Contribution of Predictors in Explaining the Variation in Y</p><p style='margin: 0'>Variable &amp; Model Selection: Identify the Contribution of Predictors in Explaining the Variation in Y</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusions to Section 4</p><p style='margin: 0'>Variable &amp; Model Selection: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. Dealing with Other Violations of the OLS Regression Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Transformations</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Data Transformations</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Regression-Deal with Outliers</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Robust Regression-Deal with Outliers</p></td></tr><tr><td style='padding: 15px;'><p>3. Dealing with Heteroscedasticity</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Dealing with Heteroscedasticity</p></td></tr><tr><td style='padding: 15px;'><p>4. Conclusions to Section 5</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Conclusions to Section 5</p></td></tr></tbody></table><br><h4>6. Generalized Linear Models (GLMs)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are GLMs?</p><p style='margin: 0'>Generalized Linear Models (GLMs): What are GLMs?</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic regression</p><p style='margin: 0'>Generalized Linear Models (GLMs): Logistic regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Logistic Regression for Binary Response Variable</p><p style='margin: 0'>Generalized Linear Models (GLMs): Logistic Regression for Binary Response Variable</p></td></tr><tr><td style='padding: 15px;'><p>4. Multinomial Logistic Regression</p><p style='margin: 0'>Generalized Linear Models (GLMs): Multinomial Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>5. Regression for Count Data</p><p style='margin: 0'>Generalized Linear Models (GLMs): Regression for Count Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Goodness of fit testing</p><p style='margin: 0'>Generalized Linear Models (GLMs): Goodness of fit testing</p></td></tr><tr><td style='padding: 15px;'><p>7. Conclusions to Section 6</p><p style='margin: 0'>Generalized Linear Models (GLMs): Conclusions to Section 6</p></td></tr></tbody></table><br><h4>7. Working with Non-Parametric and Non-Linear Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Polynomial and Non-linear regression</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Polynomial and Non-linear regression</p></td></tr><tr><td style='padding: 15px;'><p>2. Generalized Additive Models (GAMs) in R</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Generalized Additive Models (GAMs) in R</p></td></tr><tr><td style='padding: 15px;'><p>3. Boosted GAM Regression</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Boosted GAM Regression</p></td></tr><tr><td style='padding: 15px;'><p>4. Multivariate Adaptive Regression Splines (MARS)</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Multivariate Adaptive Regression Splines (MARS)</p></td></tr><tr><td style='padding: 15px;'><p>5. CART-Regression Trees in R</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: CART-Regression Trees in R</p></td></tr><tr><td style='padding: 15px;'><p>6. Conditional Inference Trees</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Conditional Inference Trees</p></td></tr><tr><td style='padding: 15px;'><p>7. Random Forest(RF)</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Random Forest(RF)</p></td></tr><tr><td style='padding: 15px;'><p>8. Gradient Boosting Regression</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Gradient Boosting Regression</p></td></tr><tr><td style='padding: 15px;'><p>9. ML Model Selection</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: ML Model Selection</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 7</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Conclusions to Section 7</p></td></tr></tbody></table>

Statistics

Programming

Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R

Regression Analysis for Statistics & Machine Learning in R

<strong>Plan, deploy and monitor cloud solutions in Microsoft Azure's Infrastructure as a Service</strong>
        <p>Cloud computing is one of the biggest technology revolutions in the IT industry, spreading at the speed of light all over the world. A growing number of business companies and organizations are looking for ways to migrate their applications into the cloud or build new cloud-native applications from scratch on top of cloud infrastructure. The demand for skilled people in the area of cloud computing is increasing every day across industries. Companies are looking for cloud experts!

This course is part of a training program called Becoming a Cloud Expert. It sets a strong foundation for the viewers to learn to migrate applications onto the cloud while using the Infrastructure as a Service model inside Microsoft Azure.

Join us and start your journey as a cloud expert while learning to create a variety of virtual resources in Microsoft Azure. 
All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Becoming-a-Cloud-Expert---Microsoft-Azure-IaaS---Level-1</p>
        <h2>What You Will Learn</h2><p>Understand the building blocks of Azure s Infrastructure as a Service<br>Create virtual networks and subnets, and allocate private and public IP addresses<br>Plan and deploy Windows and Linux virtual machines<br>Configure traffic filtering using security rules<br>Manage and attach virtual disks to VMs<br>Create and manage storage accounts<br>Configure users and access role assignments<br>Operate and monitor ongoing VM tasks</p>
        <h2>Audience</h2><p>This course is for Cloud administrators, DevOps engineers, IT and cloud experts.<br></p>
        <h2>Approach</h2><p>This complete course, packed with step-by-step instructions, working examples, and helpful advice, is clearly divided into small chunks to help you understand each topic individually and learn at your own pace.</p>
        <h2>Key Features</h2><p>A comprehensive overview of the Microsoft Azure platform * A unique balance between theoretical topics and practical demonstrations * Practice with a dedicated project book</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/becoming-a-cloud-expert---microsoft-azure-iaas---level-1</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome!</p><p style='margin: 0'>Welcome and thanks for joining! this training program "Becoming a Cloud Expert".</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Objectives and Structure</p><p style='margin: 0'>Before we start lets' quickly review the course main learning objectives and high-level structure.</p></td></tr></tbody></table><br><h4>2. Introduction to Microsoft Azure</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Here, we look into the topics covered in this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Cloud Computing Definition</p><p style='margin: 0'>Cloud Computing is the transformation of computer hardware, software and networks into a utility service just like electric, water or gas services. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources, that can be rapidly provisioned and released with minimal management effort or service provider interaction.</p></td></tr><tr><td style='padding: 15px;'><p>3. Microsoft Azure Cloud</p><p style='margin: 0'>Microsoft Azure provides the services to build, manage and deploy applications on a global scale while using multiple data centre's connected with a super-fast network. The all hardware and software orchestration of the cloud infrastructure is done using a specialized cloud operating system, called "Microsoft Azure" developed by Microsoft.</p></td></tr><tr><td style='padding: 15px;'><p>4. Global Footprint</p><p style='margin: 0'>The cloud services are supposed to be available on a global scale and this is one of the most impressive things about a public cloud provider, like Microsoft Azure, Amazon AWS, or Google cloud. Those players are building and running a huge global infrastructure and every year they announce on additional regions.</p></td></tr><tr><td style='padding: 15px;'><p>5. Demo - Azure Portal Overview</p><p style='margin: 0'>Let's review the Azure web portal at a high level.</p></td></tr><tr><td style='padding: 15px;'><p>6. Azure Resource Manager (ARM)</p><p style='margin: 0'>As part of the management layer of Azure, there is a central component that is called Azure Resource Manager, or in short ARM. The azure resource manager is used to allocate and deploy resources, organize resources into groups, control access to resources and much more.</p></td></tr><tr><td style='padding: 15px;'><p>7. Demo - Azure ARM</p><p style='margin: 0'>Let's review the Azure ARM inside Microsoft Azure - resources, resource groups, resource providers, accounts and subscriptions and deployment templates.</p></td></tr><tr><td style='padding: 15px;'><p>8. Azure Role-Based Access Control (RBAC)</p><p style='margin: 0'>Access management for resources is a critical function for any group of users or an organization that is using the Azure cloud. As administrators, the Role-based access control (RBAC) will be used to manage who has access to Azure resources and what they can do with those resources.</p></td></tr><tr><td style='padding: 15px;'><p>9. Demo - Azure RBAC</p><p style='margin: 0'>Let's create new users and assign them access to specific entities.</p></td></tr></tbody></table><br><h4>3. Azure IaaS - Networking</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Here, we investigate the topics covered in this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is a Virtual Network?</p><p style='margin: 0'>A virtual network is basically a private isolated connectivity layer being used to connect between a group of cloud resources.</p></td></tr><tr><td style='padding: 15px;'><p>3. Virtual Network Setting</p><p style='margin: 0'>In azure a virtual network is a managed entity that users are creating with a group of setting that is configured during the creation process or added later when the virtual network entity is already created.</p></td></tr><tr><td style='padding: 15px;'><p>4. Demo - Creating a Virtual Network (VNet)</p><p style='margin: 0'>Let's review the all process end-to-end for creating virtual network and subnets.</p></td></tr><tr><td style='padding: 15px;'><p>5. IP Address Types</p><p style='margin: 0'>As soon as we have a new virtual network, we can create VMs as resources inside that virtual network or inside a specific subnet. Each resource must be assigned with at least one private IP address from the virtual network address range we allocated to the virtual network. In addition, if we want a resource inside the virtual network to access the outside internet than we will need to use also a public IP address.</p></td></tr><tr><td style='padding: 15px;'><p>6. VM, NICs and IP Configuration</p><p style='margin: 0'>We have an IP address, that can be public or private created dynamically or with a static configuration. In Azure, we have a virtual machine, network interfaces and IP configuration profiles. Let's see how those building blocks are connected and what kind of combination we can create.</p></td></tr><tr><td style='padding: 15px;'><p>7. Demo - Network Interfaces and IP Configuration</p><p style='margin: 0'>Let's review how to create network interfaces, attach them to VMs and create or adjust IP configuration.</p></td></tr><tr><td style='padding: 15px;'><p>8. Network Security Group (NSG)</p><p style='margin: 0'>All public cloud providers provide an ability to filter traffic and I am planning to present how it is being done in Microsoft Azure. In Microsoft Azure, we can filter network traffic to and from resources in a virtual network with an entity that is called a network security group.</p></td></tr><tr><td style='padding: 15px;'><p>9. Application Security Group (ASG)</p><p style='margin: 0'>Another useful option in Azure related to traffic filtering is using application security groups. The focus is moving to the function of the applications. We can group VMs based on their function.</p></td></tr><tr><td style='padding: 15px;'><p>10. Demo - Configuring NSG and ASG</p><p style='margin: 0'>Let's review how to configure NSG and ASG.</p></td></tr></tbody></table><br><h4>4. Azure IaaS - Storage</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Here, we investigate the topics covered in this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Power of a Cloud Storage</p><p style='margin: 0'>Cloud storage is basically the option to store data on the Internet through a cloud computing provider who manages and operates data storage as a service. We talked about it in the introduction course about cloud computing, but this is the power of the cloud, it is a public infrastructure enabling companies to build applications that can scale on a global level without the limitation of a single private data center.</p></td></tr><tr><td style='padding: 15px;'><p>3. Types of Cloud Storage Services</p><p style='margin: 0'>These are three main storage types Block Storage, File Storage, and Object Storage.</p></td></tr><tr><td style='padding: 15px;'><p>4. Azure Storage Services</p><p style='margin: 0'>Storage services provided by public cloud providers are basically a mix of multiple options to fulfill the storage needs of a variety of applications.</p></td></tr><tr><td style='padding: 15px;'><p>5. Storage Accounts</p><p style='margin: 0'>Any type of storage service, like blobs, files, disks, tables, and queues that we would like to use must be allocated inside a logical entity called a storage account. A storage account entity can be created and managed by us or in some cases it will be created and managed by Azure.</p></td></tr><tr><td style='padding: 15px;'><p>6. Storage Replication Options</p><p style='margin: 0'>One of the most valuable features in a public cloud is high data durability. We know that data can be damaged because of many things like hardware failures, network or power outages, or maybe some massive site disasters. Systems availability is a critical factor and data is a critical component in almost all systems. Therefore, Microsoft Azure and other cloud providers are replicating our data and enable us to configure the best replication option for our application.</p></td></tr><tr><td style='padding: 15px;'><p>7. Demo - Creating and Managing a Storage Account</p><p style='margin: 0'>Let's review how to create and manage a storage account.</p></td></tr><tr><td style='padding: 15px;'><p>8. VMs Disks</p><p style='margin: 0'>In addition to allocating computing power and setting networking connectivity, we also would like the capability to allocate storage capacity as virtual disks. These are three types of azure VM disks: - Operating System Disk (OS Disk), Temporary Disk and Data Disk/s.</p></td></tr><tr><td style='padding: 15px;'><p>9. Demo - Create, Attach and Detach Data Disks</p><p style='margin: 0'>Let's review how to create, attach and detach data disks for VMs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Encryption Data at Rest</p><p style='margin: 0'>Security is a critical part of any solution, including the storage. Our next topic is encryption data at rest, meaning data that is stored in Microsoft Azure storage services. These are Azure Key Vault, SSE - Storage Service Encryption, Azure Disk Encryption (ADE).</p></td></tr></tbody></table><br><h4>5. Azure IaaS - Compute</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Here, we investigate the topics covered in this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Virtualization</p><p style='margin: 0'>At the core technology value of virtualization, we can say that virtualization is a great way to divide and optimize physical IT resources into logical entities or also called virtual resources. It is an abstraction management layer of physical objects into logical objects. Now going back to the cloud, a public cloud environment is all about virtualization but of course in a much larger scale than a single private data center.</p></td></tr><tr><td style='padding: 15px;'><p>3. Virtual Machines</p><p style='margin: 0'>VM as a resource can be allocated on-demand while using the flexibility comes with a cloud environment. We can define the required VM from a variety of VM types and sizes to be used for different application workloads.</p></td></tr><tr><td style='padding: 15px;'><p>4. VM Types and Sizes</p><p style='margin: 0'>Every application or better call it workload will have a different resources consumption profile. Some applications require more CPUs power and less memory capacity and in other cases, it will be the other way around, more memory and less CPU power. So Microsoft Azure provides us with a variety of VM types and sizes that will be more optimized to the resources consumption profile of our application.</p></td></tr><tr><td style='padding: 15px;'><p>5. Demo - Creating a VMs</p><p style='margin: 0'>Let's review how to create a new VM while following the all process end-to-end.</p></td></tr><tr><td style='padding: 15px;'><p>6. Demo - VMs Settings</p><p style='margin: 0'>VMs Setting are as follows: - Attaching Network Interfaces, attaching Data Disks, scaling a VM Size, security recommendations, adding Extensions and configure access control.</p></td></tr><tr><td style='padding: 15px;'><p>7. Demo - VMs Operations</p><p style='margin: 0'>VMs Operations are as follows: - shutdown/Run a VM, configure Auto-shutdown, scheduled Backups, using Inventory management for installed software components and running scripts on a VM.</p></td></tr><tr><td style='padding: 15px;'><p>8. Demo - VMs Monitoring</p><p style='margin: 0'>VMs Monitoring include - analysing activity logs, review metrics or KPIs, configure alerts, configure the diagnostics setting and review the Azure Advisor recommendations</p></td></tr></tbody></table><br><h4>6. Mission is Possible! - Your Project Assignment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Mission Briefing</p><p style='margin: 0'>Do you choose to accept your mission?</p></td></tr></tbody></table><br><h4>7. Course Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Let's Summarize</p><p style='margin: 0'>Let's recap the main topics we covered in this course.</p></td></tr><tr><td style='padding: 15px;'><p>2. What Next?</p><p style='margin: 0'>Thank you for joining and learning this course, let's speak about your next step moving forward as a Cloud Expert.</p></td></tr></tbody></table>

DevOps

Plan, deploy and monitor cloud solutions in Microsoft Azure's Infrastructure as a Service

Becoming a Cloud Expert - Microsoft Azure IaaS - Level 1

<strong>This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.</strong>
        <p>Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.

The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.

By the end of this course, you will have a fundamental knowledge of AI and ML.

All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1</p>
        <h2>What You Will Learn</h2><p>Find out why machine learning (ML) is called a black box<br>Get to grips with the features and labels of ML<br>Uncover techniques for training ML models<br>Find out the differences between supervised and unsupervised learning<br>Understand regression, clustering, and dimension reduction</p>
        <h2>Audience</h2><p>If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.</p>
        <h2>Approach</h2><p>With the help of simple narration, interesting examples, and practical tips, this course helps you to get started with artificial intelligence (AI) and machine learning (ML).</p>
        <h2>Key Features</h2><p>Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning * Find out how ML helps in training a model * Discover how ML systems are classified</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started with Level 1!</h4><p></p><br><h4>2. The Rise of Artificial Intelligence</h4><p></p><br><h4>3. Introduction to Machine Learning</h4><p></p><br><h4>4. Classification of ML Systems</h4><p></p><br><h4>5. Course Summary</h4><p></p>

Deep Learning

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

Machine Learning for Absolute Beginners - Level 1

<strong>This is a step-by-step course including everything you need in order to get started and learn all the fundamental core concepts of web design and web development. In this course, learn how to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.</strong>
        <p>This course starts from scratch, teaches you how to create websites, and covers everything from the basic syntax (all the common tags used to develop web content and how and where you can write HTML) top resources and links included.

You will learn about HTML structure within web pages; explore HTML5 semantic elements; build your own HTML template; create HTML lists, hyperlinks, and add images; build tables for even more HTML structure; create forms with in-depth form examples and HTML tag explanations; add iframes and more cool HTML elements; create your own mini-HTML site using only HTML; and everything you want to know about CSS, JavaScript, JavaScript Document Object Model (DOM), JSON, AJAX, and jQuery.

By the end of this course, you will be able to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.

The code files for this course are available at https://github.com/PacktPublishing/HTML-CSS-and-JavaScript-for-Beginners---A-Web-Design-Course.</p>
        <h2>What You Will Learn</h2><p>Create websites using HTML and CSS<br>Create interactive content online using JavaScript<br>Build a real-world creative and modern website<br>Coding tips and resources for best practices to build a professional website<br>Learn JavaScript Document Object Model (DOM)<br>Learn to implement JSON, AJAX, and jQuery in a website</p>
        <h2>Audience</h2><p>This course is for everyone who wants to learn web development skills, anyone who wants to learn HTML5, CSS3, and JavaScript, and web design beginners.</p>
        <h2>Approach</h2><p>This course is a complete hands-on course with step-by-step learning and includes everything you need in order to get started and learn all the fundamental core concepts of web design and web development.</p>
        <h2>Key Features</h2><p>Learn how to build interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery * Learn how to create interactive content online using JavaScript * Learn how to iterate through all the JSON data objects and output them into your HTML page</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/HTML-CSS-and-JavaScript-for-Beginners---A-Web-Design-Course</p>
        <h2>About the Author</h2><h3>Laurence Svekis</h3><p>Laurence Svekis is an experienced web application developer. He has worked on multiple enterprise-level applications, hundreds of websites, business solutions, and many unique and innovative web applications. He has expertise in HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, and MySQL and is also passionate about web technologies, web application development, programming, and online marketing with a strong focus on social media and SEO. He is always willing to help his students experience what technology has to offer and looks forward to sharing his knowledge and experiences with the world.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Web Development and Web Design</h4><p></p><br><h4>2. Learn HTML Course Section</h4><p></p><br><h4>3. CSS Section</h4><p></p><br><h4>4. Learn JavaScript Section</h4><p></p><br><h4>5. JavaScript Document Object Model</h4><p></p><br><h4>6. JavaScript JSON and AJAX</h4><p></p><br><h4>7. Learn jQuery</h4><p></p><br><h4>8. Web Design and Development: Questions, Answers, and Code Snippets</h4><p></p>

JavaScript

AJAX

Web Development

HTML

Web Design

jQuery

This is a step-by-step course including everything you need in order to get started and learn all the fundamental core concepts of web design and web development. In this course, learn how to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.

HTML CSS and JavaScript for Beginners - A Web Design Course

<strong>The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.</strong>
        <p>The primary reason for Microsoft Azure's immense popularity is that it supports a wide range of operating systems, tools, databases, programming languages, and devices.

This course starts off by introducing Microsoft's platform for the cloud. You will then explore Azure web services and storage. In the concluding sections, you will deploy a Windows Azure cloud service and implement advanced cloud service functionalities.

By the end of this course, you will become skilled enough to confidently operate Microsoft Azure to achieve business objectives.

This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, or who have some involvement with cloud-based solutions and services, as well as those with a technical background who want to brush up their fundamentals around cloud services and Azure.

All the codes and supporting files for this course will be available at https://github.com/PacktPublishing/Learning-Microsoft-Azure-A-Hands-On-Training</p>
        <h2>What You Will Learn</h2><p>Deploy and use storage service, computer service, and more<br>Get to grips with Azure fundamental concepts<br>Perform cloud computing using Microsoft Azure<br>Land a job in cloud computing<br>Master a mandatory in-demand cloud computing skill<br>Explore Windows Azure Blob and table storage</p>
        <h2>Audience</h2><p>If you are an IT employee of an Azure-based IT organization, a system administrator who uses cloud services, or someone who just wants to learn the latest cloud-based technology, this course will be your perfect companion.</p>
        <h2>Approach</h2><p>This course intends to make you think like a solution architect and find a solution to a given problem. It is designed to help IT professionals in starting with Windows PowerShell scripting. Each section comprises of hands-on instructions, interesting and illustrative examples, and clear explanations.</p>
        <h2>Key Features</h2><p>Build a solid foundation of cloud concepts and Azure architectural components * Learn through Azure real-world examples to clear the AZ-900 exam * Explore real-world small projects and practice labs</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/learning-microsoft-azure-a-hands-on-training</p>
        <h2>About the Author</h2><h3>Vijay Saini</h3><p>Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team.

Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Essential Cloud Concepts</h4><p></p><br><h4>3. Create Azure Account and Portal Walk-through</h4><p></p><br><h4>4. Project 1 : Host a Static Website in Azure</h4><p></p><br><h4>5. Project 2: Deploy A Website on Azure Virtual Machine</h4><p></p><br><h4>6. What is Next?</h4><p></p>

Security

The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.

Learning Microsoft Azure: A Hands-On Training

<strong>Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.</strong>
        <p>The demand for DevOps engineers in the IT industry is ever-increasing, with the average Silicon Valley salary for a DevOps engineer being 20% higher than that of a software engineer. Knowledge of Kubernetes is essential for any DevOps professional, and this course covers everything you need to get up and running with Kubernetes. The most important part of the course is the series of hands-on coding exercises that accompany each major concept, designed to help you deploy your own applications to a Kubernetes platform confidently.
The course starts with an introduction to Kubernetes, enabling you to learn about Docker and containers. Next, you'll set up a lab using VirtualBox and work with Minikube to create a Kubernetes cluster. As you advance, you'll use YAML files to create and deploy Pods and understand how containers/Pods communicate with one another in Kubernetes. You'll also study Kubernetes services and the architecture of Kubernetes microservices. Toward the end, you'll deploy microservices applications to a Google Cloud Platform (GCP) Kubernetes cluster and set up a multi-node Kubernetes cluster using kubeadm.
By the end of this course, you'll have developed the skill set needed to start your career as a DevOps engineer.

All resources and code files are uploaded here: https://github.com/packtpublishing/-kubernetes-for-absolute-beginners---hands-on</p>
        <h2>What You Will Learn</h2><p>Gain a basic understanding of Kubernetes fundamentals<br>Develop Kubernetes configuration files in YAML<br>Use Kubectl commands to deploy a Pod<br>Deploy Kubernetes clusters on local and cloud systems<br>Set up ReplicaSets, services, and deployments on Kubernetes<br>Enable communication between applications using Kubernetes services</p>
        <h2>Audience</h2><p>This course is for beginners who want to learn how to deploy applications on a Kubernetes platform.</p>
        <h2>Approach</h2><p>With the help of lectures, examples, and demo videos, this course helps you get started with Kubernetes. The hands-on coding exercises will help you develop your own services using Kubernetes configuration files for different use cases in your browser.</p>
        <h2>Key Features</h2><p>Understand the concepts of Kubernetes, Docker, containers, and Pods * Get to grips with the structure and application of YAML files * Find out how to deploy Kubernetes applications on local machines and to the cloud</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/-kubernetes-for-absolute-beginners---hands-on</p>
        <h2>About the Author</h2><h3>Mumshad Mannambeth</h3><p>Mumshad, an IT Solutions Architect, specializes in Cloud Native Computing, Automation, and DevOps. As the founder of KodeKloud, a Certified Kubernetes Training Partner, he's deeply passionate about technology and education. His teaching philosophy revolves around the belief that the best way to learn is through hands-on experience and an enjoyable approach. Mumshad has authored multiple courses on DevOps, Cloud, and Automation, emphasizing interactive, hands-on learning experiences.

KodeKloud, an online training institution, is dedicated to delivering top-tier, practical training in DevOps and Automation Technologies, including Docker, Kubernetes, OpenShift, Ansible, Chef, Puppet, and more. With a global student base of over 500,000, KodeKloud's courses provide engaging and interactive ways to learn new technology, making the learning process both enjoyable and insightful.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Kubernetes Overview</h4><p></p><br><h4>3. Set Up Kubernetes</h4><p></p><br><h4>4. Kubernetes Concepts</h4><p></p><br><h4>5. YAML Introduction</h4><p></p><br><h4>6. Kubernetes Concepts - Pods, ReplicaSets, Deployments</h4><p></p><br><h4>7. Networking in Kubernetes</h4><p></p><br><h4>8. Services</h4><p></p><br><h4>9. Microservices Architecture</h4><p></p><br><h4>10. Kubernetes on Cloud</h4><p></p><br><h4>11. Conclusion</h4><p></p><br><h4>12. Appendix - Set Up Multi-Node Cluster Using kubeadm</h4><p></p>

Kubernetes

Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.

Kubernetes for the Absolute Beginners - Hands-On

<strong>The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.</strong>
        <p>Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects.

You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project.

By the end of this course, you'll have created a face recognition application using everything you've learned in this course.

The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Train different types of machine learning models for your project<br>Prepare and clean data for your project<br>Optimize your machine learning model to best suit your project needs<br>Build your own machine learning model from scratch<br>Apply performance metrics to track the performance of your model<br>Use scikit-learn to perform calculations in your project</p>
        <h2>Audience</h2><p>This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.</p>
        <h2>Approach</h2><p>This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.</p>
        <h2>Key Features</h2><p>Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><br><h4>2. Why Machine Learning</h4><p></p><br><h4>3. Process of Learning from Data</h4><p></p><br><h4>4. Machine Learning Methods</h4><p></p><br><h4>5. Data Preparation and Preprocessing</h4><p></p><br><h4>6. Machine Learning Models and Optimization</h4><p></p><br><h4>7. Building Machine Learning Model from Scratch</h4><p></p><br><h4>8. Overfitting, Underfitting and Generalization</h4><p></p><br><h4>9. Machine Learning Model Performance Metrics</h4><p></p><br><h4>10. Dimensionality Reduction</h4><p></p><br><h4>11. Deep Learning Overview</h4><p></p><br><h4>12. Hands-on Machine Learning Project Using Scikit-Learn</h4><p></p><br><h4>13. OPTIONAL Section- Mathematics Wrap-up</h4><p></p>

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Python Machine Learning Crash Course for Beginners

<strong>Learn everything you need to execute web application security assessments as a professional ethical hacker.</strong>
        <p>This course contains everything to start working as a web pentester. You will learn about exploitation techniques, hacking tools, methodologies, and the whole process of security assessments. It is absolutely hands-on, you will do all the attacks in your own penetration testing environment using the provided applications. The targets are real open-source software. You will have to work hard but in the end, you will be able to do web security assessments on your own as a real ethical hacker. My name is Geri and I am the instructor of this course about web application hacking. If you are interested in hacking and IT security, then this is the perfect place to start. You might be a developer, an IT administrator, or basically anybody with an IT background. With this training, you will get everything you need to start working as a professional web penetration tester. But, why would you want to become one? First of all, because it is a lot of fun. You can be in the position of an attacker trying to hack the various system. Finding vulnerabilities exploiting them and taking over the system. You can find the true hacker in yourself. It is a very creative and exciting job. Also, the security business is booming now. But, why should you learn web hacking? Mostly because there is the biggest demand in the market. Wherever you go to work right now as a penetration tester, around 80% of the projects are web hacking related. This is usually because the awareness of web security was already established and everything has a web interface from the web application to embedded devices or IoT. Also, because that is the fastest to learn. It is because web-related technologies are usually text-based and are easy to work with. So, at the end of the day, web pen testing is the fastest to learn and the most searched. So, I think it is an obvious choice to start your carrier there.

All the code files are placed at https://github.com/PacktPublishing/Web-Hacking-Become-a-Professional-Web-Pentester</p>
        <h2>What You Will Learn</h2><p>&bull;&nbsp;&nbsp;Why hacking is fun<br>&bull;&nbsp;&nbsp;Understand web security problems and how to fix them<br>&bull;&nbsp;&nbsp;Find security vulnerabilities in web applications<br>&bull;&nbsp;&nbsp;Start working as a penetration tester for web applications<br>&bull;&nbsp;&nbsp;How traditional and modern web applications work<br>&bull;&nbsp;&nbsp;How the process of ethical hacking works<br>&bull;&nbsp;&nbsp;Get practical experience in exploiting web applications<br>&bull;&nbsp;&nbsp;How to do ethical hacking projects the right way<br>&bull;&nbsp;&nbsp;How professional penetration testing works<br></p>
        <h2>Audience</h2><p>This course is for developers who want to secure their web applications. People who want to become a penetration tester. Penetration testers who want to extend their portfolio to web applications. Anybody who works in IT or study it and is interested in web hacking.</p>
        <h2>Approach</h2><p>It is absolutely hands on. We are going to hack real open-source applications where you can try every technique and attack yourself. So, you will have to get your hands dirty. I will show you everything first and then you can keep experimenting and testing yourself.</p>
        <h2>Key Features</h2><p>&bull;&nbsp;&nbsp;It never gets boring, there will be always something interesting and new to learn.  * &bull;&nbsp;&nbsp;You will be never without a job. If you keep up with the developments, there will be always something new to do. And as long as there are new systems, people will keep screwing up and building insecure stuff. And that's what brings projects to us.  * &bull;&nbsp;&nbsp;So, I hope I piqued your attention to learning web application * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/web-hacking-become-a-professional-web-pentester</p>
        <h2>About the Author</h2><h3>Gergely Révay</h3><p>Gergely Révay, the instructor of this course, hacks stuff for fun and profit at Multinational Corporation in Germany and in the USA. He has worked as a penetration tester since 2011; before that, he was a quality assurance engineer in his home country, Hungary. As a consultant, he did penetration tests and security assessments in various industries, such as insurance, banking, telco, mobility, healthcare, industrial control systems, and even car production. Gergely has also built online courses and tutorials since 2014 on various platforms such as http://hackademy.aetherlab.net and https://www.youtube.com/aetherlabnet During this time he has put a lot of effort into understanding how pentesting and offensive security can be taught efficiently.</p>
        <h2>Course Outline</h2><h4>1. Warm up</h4><p></p><br><h4>2. Environment setup</h4><p></p><br><h4>3. Web 101</h4><p></p><br><h4>4. Application discovery</h4><p></p><br><h4>5. Attacking session management</h4><p></p><br><h4>6. Attacking authentication</h4><p></p><br><h4>7. Attacking authorization</h4><p></p><br><h4>8. Attacking the client</h4><p></p><br><h4>9. Server side injections</h4><p></p><br><h4>10. The rest</h4><p></p>

Learn everything you need to execute web application security assessments as a professional ethical hacker.

Web Hacking: Become a Professional Web Pentester

GitHub

GitHub is a Git repository hosting service, but it adds many of its own features. While Git is a command line tool, GitHub provides a Web-based graphical interface. It also provides access control and several collaboration features, such as a wikis and basic task management tools for every project.

Complete Git Guide: Understand and Master Git and GitHub

Software Development

This course takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with Git and GitHub. With the help of exercises and activities, you will be able to grasp all the concepts of Git and GitHub with ease.

Git and GitHub Complete Master Class: Beginner to Git Expert

<strong>A carefully structured course that covers everything from installing Git on Linux to understanding Git reset such as soft, mixed, and hard reset. With a perfect blend of animations and live lab demos, the course makes it easy to grasp the concepts.</strong>
        <p>Version Control has always been part of the software development lifecycle to facilitate programmers to restore the previous versions and assist with release management. Git is a popular open-source distributed version control software and manages hundreds of branches with hundreds of programmers very efficiently.

This course includes the following three mini-courses to give you a wholesome experience:

- Git essentials
- Merging types, branching type, stash, and rebase
- Searching, rewriting, history, and reset

We will start with Git installation and learn all the fundamentals in a step-by-step approach. We will also cover Git architecture, which is fundamental in understanding Git. This will be followed by creating Git repositories and adding, changing, and deleting files. You will learn to commit changes to Git, compare commits, and review commit logs. We will also discuss how to undo changes and ignore files based on name, regular expression, and folder name.

Finally, you will learn to use the git log command efficiently to filter the commit log.

By the end of the course, you will gain a strong understanding of the fundamentals of Git, which will also aid in understanding GitHub, BitBucket, and so on.</p>
        <h2>What You Will Learn</h2><p>Understand Git architecture<br>Learn how to revert or undo file changes<br>Explain how to work with tags<br>Explore how to add, delete, move, and edit files<br>Explore how to rebase or rewrite history<br>Understand working with aliases</p>
        <h2>Audience</h2><p>This course is for cloud engineers, DevOps engineers, and architects. Developers, programmers, software managers, and modern operations managers can also take up this course to upskill them.</p>
        <h2>Approach</h2><p>This course follows a theory as well as a practical approach. 90+ bite-sized videos to help you become an expert in Git. With the perfect blend of animations and hands-on demos, the concepts are easy to grasp.</p>
        <h2>Key Features</h2><p>Understand how Git works and master the essentials * Learn about merging types and stashing * Understand Git log filtering, merge conflicts, and searching</p>
        
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Part 1: Git Essentials</h4><p></p><br><h4>2. Getting Started</h4><p></p><br><h4>3. Git Installation & Basic Concepts</h4><p></p><br><h4>4. Git Architecture & Basic Operations</h4><p></p><br><h4>5. Revert The Changes</h4><p></p><br><h4>6. Ignore Files</h4><p></p><br><h4>7. Git Branches</h4><p></p><br><h4>8. Tags</h4><p></p><br><h4>9. Aliases</h4><p></p><br><h4>10. Remote Repository & Commit Log Filtering</h4><p></p><br><h4>11. Part 1: Conclusion</h4><p></p><br><h4>12. Part 2: Merging Types, Branching Types, Stash and Rebase</h4><p></p><br><h4>13. Merging & Conflicts</h4><p></p><br><h4>14. Branching Strategies</h4><p></p><br><h4>15. Stashing</h4><p></p><br><h4>16. Rebasing</h4><p></p><br><h4>17. Part 3: Searching, Rewriting History and Reset</h4><p></p><br><h4>18. Searching</h4><p></p><br><h4>19. Rewriting History</h4><p></p><br><h4>20. Git Reset</h4><p></p><br><h4>21. Part 3: Conclusion</h4><p></p>

A carefully structured course that covers everything from installing Git on Linux to understanding Git reset such as soft, mixed, and hard reset. With a perfect blend of animations and live lab demos, the course makes it easy to grasp the concepts.

Git Essentials for Beginners

<strong>In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.</strong>
        <p>This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git on Windows, Mac, and Linux and then understand how to use it on the command line. Next, you will get to grips with configuring Git on a computer and creating, cloning, and adding files to a GitHub repository. The videos will also guide you through creating custom branches and tags, opening and managing GitHub issues, and opening and managing pull requests.
All along, the course follows a practical approach, ensuring that you work through plenty of real-life examples. This will give you hands-on experience in building your own repositories, forking the repo, and even safely opening a pull request on your work. Everything you will learn about Git and GitHub in this course is completely transferable to GitLab and Bitbucket.
In a bonus section, we will also learn how to use GitHub Pages to deploy your project.
By the end of this course, you will be well-versed with Git and GitHub fundamentals, and have the skills you need to work through open-source projects.
All code and supporting files are available at https://github.com/PacktPublishing/Git-Essentials-Become-a-Git-and-GitHub-Ninja</p>
        <h2>What You Will Learn</h2><p>Become well-versed with how to clone a GitHub repository<br>Understand how to add files to your GitHub repository<br>Get to grips with resolving merge conflicts<br>Explore GitHub pull requests and discover how to merge Git branches<br>Understand how to stash your code<br>Learn how to use GitHub Pages to deploy your project</p>
        <h2>Audience</h2><p>This course is for developers who are looking to work on open-source projects, or anyone interested in learning the commands and important aspects of Git and GitHub.</p>
        <h2>Approach</h2><p>This course follows a hands-on approach to help you understand the important aspects of Git and GitHub. It not only features detailed explanations but also plenty of examples to ensure that you learn effectively.</p>
        <h2>Key Features</h2><p>Explore how Git and GitHub work, along with their important aspects * Learn how to manage files, commits, and branches * Create custom branches and discover how to manage pull requests</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Git-Essentials-Become-a-Git-and-GitHub-Ninja</p>
        <h2>About the Author</h2><h3>Kalob Taulien</h3><p>Kalob Taulien is a professional web developer who has been developing websites and working with start-ups since 1999. Since many years, he has been writing codes in Python and Django. He is in the core Wagtail CMS team and one of the core leaders in Wagtail-based education. The passion to learn and to share his knowledge by teaching and helping others is something that drives him constantly. His ability to turn complex programming concepts into easy-to-understand bits of knowledge has been called his 'superpower'. Throughout the years, he has built numerous websites. He even provides one-on-one coaching and start-up consulting to new organizations.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Git Essentials</p><p style='margin: 0'>Welcome to this course. Here's a very brief overview of what we'll be working on together and what you'll learn along the way.</p></td></tr></tbody></table><br><h4>2. Beginner Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why the command line?</p><p style='margin: 0'>Let's talk about how learning the command-line method will set you up for success in the future.</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Git (Windows Only)</p><p style='margin: 0'>This video shows how to install Git on your Windows computer.</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Git (MacOS and Linux)</p><p style='margin: 0'>This video shows how to install Git on Mac and Linux computers.</p></td></tr><tr><td style='padding: 15px;'><p>4. Getting started with GitHub</p><p style='margin: 0'>Let's jump into GitHub! GitHub is a free service for your public projects.</p></td></tr><tr><td style='padding: 15px;'><p>5. Configuring Git on Your Computer</p><p style='margin: 0'>Beginner Git: Configuring git on your computer will tell GitHub, GitLab, and other services who you are. It's how you digitally sign your work.</p></td></tr><tr><td style='padding: 15px;'><p>6. Creating and Adding an SSH Key</p><p style='margin: 0'>SSH keys let you bypass entering your username and email address every time you want to make a change. Don't worry; SSH keys are just as safe as entering your password.</p></td></tr><tr><td style='padding: 15px;'><p>7. How to Clone a Repository</p><p style='margin: 0'>Let's take a look at the "git way" to copy files from GitHub to your computer.</p></td></tr><tr><td style='padding: 15px;'><p>8. What is Cloning, Anyway?</p><p style='margin: 0'>Let's understand what cloning is.</p></td></tr><tr><td style='padding: 15px;'><p>9. How to Create a New Repository on GitHub</p><p style='margin: 0'>Create a brand-new repository on GitHub and add your first file to it!</p></td></tr><tr><td style='padding: 15px;'><p>10. How to Push to Your GitHub Repository</p><p style='margin: 0'>Learn how to add new files to your repository and get them to show up on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>11. Git Status</p><p style='margin: 0'>Git status is the most popular command you'll use when using Git. You'll need to know it well.</p></td></tr><tr><td style='padding: 15px;'><p>12. Unstaging a File</p><p style='margin: 0'>What happens if you accidentally stage a file for a commit? Let's explore how to undo this.</p></td></tr><tr><td style='padding: 15px;'><p>13. Undeleting a File</p><p style='margin: 0'>Git is a magical program. It's so magical it can even bring files back from the dead.</p></td></tr><tr><td style='padding: 15px;'><p>14. Git Origins and Remotes</p><p style='margin: 0'>Learn what a Git remote and Git origin is. You'll need to know this when working on open-source projects.</p></td></tr><tr><td style='padding: 15px;'><p>15. Git Branching</p><p style='margin: 0'>Branching allows us to safely make changes to our codebase without having to affect everybody on the team. It's the safest method to writing code in teams.</p></td></tr><tr><td style='padding: 15px;'><p>16. Committing to a New Branch</p><p style='margin: 0'>Branches share their main code base with the master branch. But pushing your changes to GitHub is a slightly different process. It's easier than you expect!</p></td></tr><tr><td style='padding: 15px;'><p>17. Merging Branch into Master</p><p style='margin: 0'>Merging is how you take the code from one branch and mix it into another branch. It's an essential skill when using branches and working in teams.</p></td></tr><tr><td style='padding: 15px;'><p>18. Seeing Your Git History</p><p style='margin: 0'>Git lets you travel through time and see your old work (and other people's older work).</p></td></tr><tr><td style='padding: 15px;'><p>19. Downloading Updates from GitHub</p><p style='margin: 0'>When working with other people, sometimes they will add work to GitHub that you don't have yet. You'll need to download those updates frequently, and here's how.</p></td></tr><tr><td style='padding: 15px;'><p>20. How to Get Updates from GitHub</p><p style='margin: 0'>Occasionally, you'll want to see what updates are available in your branch but you might not be ready to apply them yet. Here's how we take a sneak peek into the future of our codebase.</p></td></tr><tr><td style='padding: 15px;'><p>21. Checkout: Code-Time Travel</p><p style='margin: 0'>With Git, because it's a version control system, you can essentially go back in time and look around the codebase.</p></td></tr><tr><td style='padding: 15px;'><p>22. README.md Files</p><p style='margin: 0'>Readme files are one of the most common types of files you'll see in most Git repositories. In this video, we will look at what they are, what goes into them, and how they work.</p></td></tr></tbody></table><br><h4>3. Advanced Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Viewing File Differences</p><p style='margin: 0'>Git allows us to see the changes we've made in a file. There's no possible way we can remember all our changes, but that's OK, because Git will keep track of it all for us.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Ignore Files</p><p style='margin: 0'>In a larger project, you'll want to avoid adding useless files. In this lesson, we'll dive into automating this, so we never accidentally commit the wrong file, such as passwords, to-dos, or entire databases.</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a Custom Git Alias</p><p style='margin: 0'>Git lets you create custom commands. In this lesson, we'll create a custom Git alias and improve our standard logging tool.</p></td></tr><tr><td style='padding: 15px;'><p>4. Fixing Git Commit Messages</p><p style='margin: 0'>We all make typos, it's a fact of life. But that doesn't mean you need to live with them. Learn how to fix a typo in a Git commit.</p></td></tr><tr><td style='padding: 15px;'><p>5. How to Fork a Repo</p><p style='margin: 0'>Forking is an insanely important part of using Git and services such as GitHub and GitLab.</p></td></tr><tr><td style='padding: 15px;'><p>6. Git Issues</p><p style='margin: 0'>Issues are a somewhat mislabelled feature, but they are incredibly important when working with other people. Let's demystify this feature.</p></td></tr><tr><td style='padding: 15px;'><p>7. How to Open a Pull Request</p><p style='margin: 0'>Pull requests are going to be a common feature and tool you'll use when working in a team. This is the official method to ask, "Can I mix my code into yours?"</p></td></tr><tr><td style='padding: 15px;'><p>8. Undoing a Commit</p><p style='margin: 0'>We've all accidentally made a commit we wish we could take back. Maybe it was missing files, maybe it was work on the wrong branch. Either way, let's undo it.</p></td></tr><tr><td style='padding: 15px;'><p>9. Force Pushing</p><p style='margin: 0'>Force pushing is dangerous, and occasionally required. Learn about the dangers and uses of a force push.</p></td></tr><tr><td style='padding: 15px;'><p>10. How to Rebase</p><p style='margin: 0'>Rebasing is like a merge, but it's how the pros do it. There are pros and cons to using a rebase over a merge, and we'll explore all of that together in this lesson.</p></td></tr><tr><td style='padding: 15px;'><p>11. Resolving Merge and Rebase Conflicts</p><p style='margin: 0'>When you try to merge/rebase code into other branches or other repos, and you and someone else has made a change on the same line, you'll get a conflict! Let's resolve them both now!</p></td></tr><tr><td style='padding: 15px;'><p>12. How to Stash Code</p><p style='margin: 0'>Stashing code is kind of like a temporary save feature. It lets you save all your work, work on other files, and come back exactly where you left off. It's a life-saving tool for every developer.</p></td></tr><tr><td style='padding: 15px;'><p>13. Adding Tags to Your Commits</p><p style='margin: 0'>Tags are used less often than other features in this course, but they can be incredibly useful especially when it comes to adding version numbers to your project.</p></td></tr></tbody></table><br><h4>4. Bonus - Launching Your Website with GitHub Pages</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Let's take a quick sneak peek into this bonus section and see what we will perform.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a GitHub Account</p><p style='margin: 0'>In this video, we'll set up and create our free GitHub account.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a "Special" Repository</p><p style='margin: 0'>In this video, we'll set up and create a "special" repository for our website.</p></td></tr><tr><td style='padding: 15px;'><p>4. Downloading (Cloning) Your Repository</p><p style='margin: 0'>In this video, we'll download and learn how to clone a repository.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Your First File</p><p style='margin: 0'>In this video, we'll learn how to create our first "hello world" file.</p></td></tr><tr><td style='padding: 15px;'><p>6. Pushing the File to GitHub</p><p style='margin: 0'>In this video, we'll learn how to push files from your desktop to GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>7. Viewing Your Website</p><p style='margin: 0'>In this video, we'll see how our website is deployed using GitHub pages.</p></td></tr><tr><td style='padding: 15px;'><p>8. Making Your Website Beautiful</p><p style='margin: 0'>In this video, we'll use a free template for our website.</p></td></tr><tr><td style='padding: 15px;'><p>9. Adding Your Custom Projects</p><p style='margin: 0'>In this video, we'll add custom projects to our website.</p></td></tr><tr><td style='padding: 15px;'><p>10. Ignoring Files</p><p style='margin: 0'>In this video, we'll see how to ignore pushing unwanted files to our repository.</p></td></tr><tr><td style='padding: 15px;'><p>11. Project Summary</p><p style='margin: 0'>It's time to implement your learning from the section and create your own GitHub Pages website.</p></td></tr></tbody></table><br><h4>5. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Final Lesson</p><p style='margin: 0'>This is a summary lesson of what we've learned.</p></td></tr></tbody></table>

In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.

Git Essentials: Become a Git and GitHub Ninja

<strong>This course focuses on the basic features of Git and GitHub such as commits, branches, merging, GitHub, and Git objects. If you are new to Git and GitHub, this course will help you get familiarized with the concepts so that you can use them in your projects and the projects that you potentially will contribute to in the future.</strong>
        <p>This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git and initialize a new Git repository on Windows, Mac, and Linux/Unix systems and then understand how to use it on the command line.

Next, you will learn the four types of objects in Git: blobs, trees, commits, and annotated tags. Each object has a unique SHA1 hash. All objects are stored in the folders. Every object has just a single reference to it-SHA1 hash. Files are stored in blobs. Filenames are stored in other Git objects called trees.

The videos will guide you through making changes, staging them, and committing them afterward. Also, you will learn and practice how to observe commits tree and checkout different commits to 'travel in time' between different states of the Git repository.

By the end of this course, you will be well-versed with the basics of Git and GitHub.</p>
        <h2>What You Will Learn</h2><p>Create and initialize local and remote Git repositories<br>Synchronize local and remote repository at GitHub<br>Make changes in the working directory, add them to the staging area, and commit<br>Create, checkout, and merge branches<br>Analyze contents of the Git objects<br>Explore pushing and pulling operations<br>Make changes in the files directly at GitHub</p>
        <h2>Audience</h2><p>This course is for complete beginners who are new to Git and GitHub, software developers who want to learn what is Git and how to use its basic features, and developers who want to learn how to connect GitHub and Git repositories.</p>
        <h2>Approach</h2><p>The entire course follows a practical hands-on approach ensuring that you can practice and understand all core Git and GitHub features. It provides interactive activities to give you a practical learning experience.</p>
        <h2>Key Features</h2><p>Explore how Git and GitHub work, along with their basic features * Learn how to manage commits, branches, merging, and objects in GitHub and Git * Perform basic operations such as committing changes, pushing to the remote, and merging branches</p>
        
        <h2>About the Author</h2><h3>Bogdan Stashchuk</h3><p>Bogdan Stashchuk has over 20 years of experience as a software engineering instructor. He excels at breaking down complex topics into easy-to-follow steps. His courses are designed with hands-on exercises, ensuring that learners can actively participate and apply what they learn. From start to finish, students can follow along and complete tasks just as Bogdan demonstrates in his lectures. He also includes challenging assignments with detailed solutions. This approach helps learners understand and remember the material long after they've completed the course. Through his dedication and expertise, Bogdan ensures a valuable and effective learning experience for everyone.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Git and GitHub Crash Course Overview</p><p style='margin: 0'>This section will provide a quick overview of the course and tell you what will be covered in different sections, followed by the difference between Git and GitHub.</p></td></tr></tbody></table><br><h4>2. Getting Started with Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Installing Git</p><p style='margin: 0'>Learn how to install Git on your computer.</p></td></tr><tr><td style='padding: 15px;'><p>2. Initializing new Git Repository</p><p style='margin: 0'>Learn how to create and initialize new Git repositories. What to do if you can't rename "master" branch to "main": If you are not able to rename "master" branch to "main" and see the following error: Error: refname refs/heads/master not found  fatal: Branch rename failed  You need to do ONE of the following steps:  Update Git to the latest version.  Proceed working in the "master" branch and rename it to "main" after the first commit or later before we push local changes to the remote repository</p></td></tr><tr><td style='padding: 15px;'><p>3. Git Object Types</p><p style='margin: 0'>In this lesson, the different types of Git objects will be explained. There are four different types of Git objects, namely, blob, tree, commit, and annotated tag.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hashes of the Git Objects</p><p style='margin: 0'>Every object in Git has a specific hash. Hash is a unique identifier of every Git object in the Git repository. Hash is created using specific hash functions, namely SHA-1. Hash functions create fixed length hashes from any variable length input.</p></td></tr></tbody></table><br><h4>3. Committing Changes in the Git Repository</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Adding Changes to the Staging Area</p><p style='margin: 0'>Create a new file in the shell. A file in Git will be in the working directory, staging area(index), or repository. If the file is already located in the working directory, then you can stage it, move it to the staging area, and commit the changes.</p></td></tr><tr><td style='padding: 15px;'><p>2. Configuring Git Author Name and Email</p><p style='margin: 0'>Learn how to configure global Git name and email that will be appended to all the commits you will make.</p></td></tr><tr><td style='padding: 15px;'><p>3. Committing Changes</p><p style='margin: 0'>Create your very first Git commit.</p></td></tr><tr><td style='padding: 15px;'><p>4. Exploring Commits History</p><p style='margin: 0'>You have just created your very first Git commit in the Git repository. Now it's time to explore the history of all commits.</p></td></tr><tr><td style='padding: 15px;'><p>5. Basic Git Commands</p><p style='margin: 0'>In this lesson, we are going to talk about basic Git commands such as git status, git add, git commit, git log, and git checkout.</p></td></tr><tr><td style='padding: 15px;'><p>6. Checking Out Commits and Branches</p><p style='margin: 0'>This lesson is a step-by-step guide to check out the commits made and manage the branches created.</p></td></tr><tr><td style='padding: 15px;'><p>7. File Tracking Statuses in Git</p><p style='margin: 0'>In this lesson, we are going to discuss about the file tracking statuses and how we can modify the files we created. There are four file tracking statuses; namely, untracked, unmodified, modified, and staged.</p></td></tr><tr><td style='padding: 15px;'><p>8. Staging and Committing Changes Using One Command</p><p style='margin: 0'>Once we have modified our file and made changes to it, it is now time to commit those changes.</p></td></tr></tbody></table><br><h4>4. Branches and Merging</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Branches and Merging of the Branches</p><p style='margin: 0'>Branches are needed if you want to work on multiple features in the same project in parallel. A branch is simply a pointer to the specific commit.</p></td></tr><tr><td style='padding: 15px;'><p>2. Branches Merging in Action</p><p style='margin: 0'>Now that we understand how merging branches work, let's see it in action.</p></td></tr><tr><td style='padding: 15px;'><p>3. Exploring Commits Tree Using Graph Option</p><p style='margin: 0'>Let us explore commits utilizing the graph option. To find specific parents for a commit, we need to use the graph option.</p></td></tr></tbody></table><br><h4>5. Working with Remote Repository at GitHub</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. GitHub and Repository Hosting Services Overview</p><p style='margin: 0'>GitHub is a repository hosting site. You can sign up for free and create remote repositories. Remote GitHub repositories can be connected and synchronized with your local Git repositories. Push and pull requests can be performed between the local and remote repositories.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating Remote Repository at GitHub</p><p style='margin: 0'>In this lesson, we will be creating a remote repository in GitHub and connect it to our local repository.</p></td></tr><tr><td style='padding: 15px;'><p>3. Pushing from the Local Repository to Remote</p><p style='margin: 0'>In this video, we will learn how to perform push operations from the local repository in command line to connect to remote repository and add to GitHub. You will be asked to provide your username and password if you are pushing to GitHub for the first time.</p></td></tr><tr><td style='padding: 15px;'><p>4. Committing at GitHub and Pulling to the Local Repository</p><p style='margin: 0'>Once we are done with our push operations, the changes need to be committed at GitHub followed by pull requests.</p></td></tr></tbody></table><br><h4>6. Exploring Git objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Exploring and Reading Git Objects</p><p style='margin: 0'>We have already discussed the different types of Git objects so in this lesson, we will learn how to explore and read Git objects.</p></td></tr><tr><td style='padding: 15px;'><p>2. Reading Contents of the HEAD File</p><p style='margin: 0'>The Git folder consists of many subfolders among which we have our HEAD file. The contents of a HEAD file point toward a specific branch.</p></td></tr></tbody></table><br><h4>7. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Summary</p><p style='margin: 0'>Let's wrap up and quickly go through the things we have learnt through the course.</p></td></tr></tbody></table>

This course focuses on the basic features of Git and GitHub such as commits, branches, merging, GitHub, and Git objects. If you are new to Git and GitHub, this course will help you get familiarized with the concepts so that you can use them in your projects and the projects that you potentially will contribute to in the future.

Git and GitHub Crash Course

<strong>Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.</strong>
        <p>This course is created from the perspective of a DevOps Engineer who does not write much application code. The author has taken a real-world project to explain the process from creating a repository to releasing code onto the production environment. This gives a complete understanding of the power of Git and GitHub.

This course starts with installing Git on Windows, then you will set up an EC2 instance and install Git on Linux. After that, you will work with Git Bash and then create a repository on Git and GitHub. Post which you will clone a repository from GitHub and work with other developer code. Next, you will be working with commits on Git and GitHub. You will also be working with branches on Git and GitHub. Next, you will create a pull request and work with private repositories.

Following that, you will revert changes from the working directory, staging area, and local repository and understand the concept of Git Rebase, Git Fetch, and Git Pull.

Finally, you will understand DevOps Engineer roles on Git with the help of a project.

By the end of this course, you will be able to get a complete understanding of the power of Git and GitHub. You will feel confident using Git and GitHub to manage your job as a DevOps engineer. You will also have set up a production-ready Git environment for your developers.

All the resources are available on the GitHub repository at https://github.com/PacktPublishing/git_course</p>
        <h2>What You Will Learn</h2><p>Set up an EC2 instance and install Git on Linux<br>Create a repository on Git and GitHub<br>Clone a repository from GitHub<br>Work with branches on Git and GitHub<br>Create a pull request and work with private repositories<br>Understand the concept of Git Rebase, Git fetch, and Git Pull</p>
        <h2>Audience</h2><p>This course is designed for individuals and any IT professional who wants to start their career in DevOps. This will also benefit DevOps engineer who wants to get a complete picture of Git and GitHub activities and understand their roles on Git with the help of a project.<br><br>To gain the most out of this course, you should have basic knowledge of Linux and Git.</p>
        <h2>Approach</h2><p>This is a well-structured, hands-on, and comprehensive course keeping in mind the beginner level in the IT domain. This course helps in creating a repository to release code onto the production environment and understanding DevOps engineer roles on Git with the help of a project.<br><br>The course is inclined with a starting point for the DevOps journey and DevOps Engineer roles on Git and GitHub and you will get an opportunity to work on the hands-on labs.</p>
        <h2>Key Features</h2><p>A comprehensive course along with hands-on practical lab * Learn how to use Git and GitHub to manage a DevOps engineer job * The course inclined with a starting point for the DevOps journey and DevOps engineer roles on Git and GitHub</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/git_course</p>
        <h2>About the Author</h2><h3>Valaxy Technologies</h3><p>Valaxy Technologies is recognized as one of the top Cloud and DevOps trainers. A.R. Shankar is the owner, founder, and one of the many instructors at Valaxy Technologies. While he has worked with various technologies in his career, he specializes in Cloud and DevOps. 

Valaxy Technologies has exponentially grown ever since its inception in 2013. The instructors at Valaxy Technologies have trained over 100,000 global learners. </p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Before Starting</p><p style='margin: 0'>This video provides an extension and focus areas about this course in detail and also key focus points.</p></td></tr><tr><td style='padding: 15px;'><p>3. About Instructor</p><p style='margin: 0'>This video talks about the instructor and his journey.</p></td></tr><tr><td style='padding: 15px;'><p>4. What is Version Control System</p><p style='margin: 0'>This video explains the version control system in detail.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Git on Windows</p><p style='margin: 0'>This video demonstrates the installation of Git on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Set Up an EC2 instance and Install Git on Linux</p><p style='margin: 0'>This video demonstrates setting up an EC2 instance and installing Git on Linux.</p></td></tr><tr><td style='padding: 15px;'><p>7. Working with Git Bash</p><p style='margin: 0'>This video demonstrates working with Git Bash.</p></td></tr></tbody></table><br><h4>2. Working with Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating a Repository on Git</p><p style='margin: 0'>This video demonstrates creating a repository on Git.</p></td></tr><tr><td style='padding: 15px;'><p>2. Git Stages</p><p style='margin: 0'>This video explains about the Git stages.</p></td></tr><tr><td style='padding: 15px;'><p>3. Git Workflow</p><p style='margin: 0'>This video explains about the Git workflow.</p></td></tr><tr><td style='padding: 15px;'><p>4. Compare Code Changes with Different Git Stages</p><p style='margin: 0'>This video helps us compare code changes with different Git stages.</p></td></tr><tr><td style='padding: 15px;'><p>5. Compare Code Changes with Different Local Commits</p><p style='margin: 0'>This video helps us compare code changes with different local commits.</p></td></tr></tbody></table><br><h4>3. Working with GitHub</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why Do We Need GitHub</p><p style='margin: 0'>This video explains why do we need GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating GitHub Account</p><p style='margin: 0'>This video demonstrates creating a GitHub account.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Repository on GitHub</p><p style='margin: 0'>This video explains creating a repository on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>4. Cloning a Repository from GitHub</p><p style='margin: 0'>This video explains cloning a repository from GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>5. Push Code onto Remote Repository</p><p style='margin: 0'>This video demonstrates how to push code onto a remote repository.</p></td></tr></tbody></table><br><h4>4. Working with Other Developers</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working with Other Developer Code</p><p style='margin: 0'>This video explains working with other developer code.</p></td></tr><tr><td style='padding: 15px;'><p>2. Git Clone Versus Git Pull</p><p style='margin: 0'>This video talks about Git Clone versus Git Pull.</p></td></tr><tr><td style='padding: 15px;'><p>3. Unable to Push Changes onto Remote Repository</p><p style='margin: 0'>This video explains what you should do if you are unable to push changes onto remote repository.</p></td></tr><tr><td style='padding: 15px;'><p>4. Connecting to GitHub Using ssh</p><p style='margin: 0'>This video explains connecting to GitHub using ssh.</p></td></tr><tr><td style='padding: 15px;'><p>5. Map Local Repository with Remote Repository - Git Remote Add</p><p style='margin: 0'>This video explains how to map local repository with remote repository using git remote add.</p></td></tr><tr><td style='padding: 15px;'><p>6. How a Java Developer Pushes Code onto Remote Repository</p><p style='margin: 0'>This video helps you learn how a Java developer pushes code onto remote repository.</p></td></tr></tbody></table><br><h4>5. Git Commits</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working with Commits on Git</p><p style='margin: 0'>This video explains working with commits on Git.</p></td></tr><tr><td style='padding: 15px;'><p>2. Know Information about Specific Commit on Git - Git Show</p><p style='margin: 0'>This video explains how one can know information about specific commits on Git using Git show.</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Commits on GitHub</p><p style='margin: 0'>This video explains working with commits on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>4. Commit Changes Directly on GitHub</p><p style='margin: 0'>This video explains how to commit changes directly on GitHub.</p></td></tr></tbody></table><br><h4>6. Git Branches</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why Do We Need Branches</p><p style='margin: 0'>This video helps us understand why we need branches.</p></td></tr><tr><td style='padding: 15px;'><p>2. Branching Strategy to Protect Working Code</p><p style='margin: 0'>This video explains the branching strategy to protect working code.</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Branches on GitHub</p><p style='margin: 0'>This video demonstrates working with branches on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>4. Working with Branches on Git</p><p style='margin: 0'>This video demonstrates working with branches on Git.</p></td></tr><tr><td style='padding: 15px;'><p>5. Committing Changes on Branches</p><p style='margin: 0'>This video explains committing changes on branches.</p></td></tr><tr><td style='padding: 15px;'><p>6. Merging Changes onto Master Branch from Dev</p><p style='margin: 0'>This video demonstrates merging changes onto master branch from Dev.</p></td></tr><tr><td style='padding: 15px;'><p>7. Resolving Merge Conflicts</p><p style='margin: 0'>This video explains resolving merge conflicts.</p></td></tr></tbody></table><br><h4>7. Working with Team</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Fork a Repository</p><p style='margin: 0'>This video explains how to fork a repository.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Pull Request (PR)</p><p style='margin: 0'>This video focuses on creating a Pull Request (PR).</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Private Repositories</p><p style='margin: 0'>This video explains working with private repositories.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Collaborator to a GitHub Repository</p><p style='margin: 0'>This video explains how to add a collaborator to a GitHub repository.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Protected Branch</p><p style='margin: 0'>This video demonstrates creating protected branches.</p></td></tr><tr><td style='padding: 15px;'><p>6. Tagging a Commit</p><p style='margin: 0'>This video focuses on tagging a commit.</p></td></tr></tbody></table><br><h4>8. Reverting Changes</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Revert Changes from Working Directory</p><p style='margin: 0'>This video explains how to revert changes from working directory.</p></td></tr><tr><td style='padding: 15px;'><p>2. Reverting Changes from Staging Area and Local Repository</p><p style='margin: 0'>This video focuses on reverting changes from staging area and local repository.</p></td></tr><tr><td style='padding: 15px;'><p>3. Using .Gitignore File</p><p style='margin: 0'>This video explains how to use .gitignore file.</p></td></tr></tbody></table><br><h4>9. Miscellaneous Concepts</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Git Rebase</p><p style='margin: 0'>This video explains the Git rebase.</p></td></tr><tr><td style='padding: 15px;'><p>2. Git Fetch Versus Git Pull</p><p style='margin: 0'>This video explains the difference between Git Fetch and Git Pull.</p></td></tr></tbody></table><br><h4>10. DevOps Engineer Roles on Git - With Project</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Git Project</p><p style='margin: 0'>This video provides an introduction to the Git project.</p></td></tr><tr><td style='padding: 15px;'><p>2. Set Up Git Repository and Branches for New Project</p><p style='margin: 0'>This video helps set up Git repository and branches for a new project.</p></td></tr><tr><td style='padding: 15px;'><p>3. Allowing Developers to Check-In Code</p><p style='margin: 0'>This video helps in allowing developers to check-in code.</p></td></tr><tr><td style='padding: 15px;'><p>4. Enabling DevOps Workflow on Dev Branch</p><p style='margin: 0'>This video explains how to enable DevOps workflow on Dev branch.</p></td></tr><tr><td style='padding: 15px;'><p>5. Pull Request (PR) to Merge Code from Dev Branch to UAT Branch</p><p style='margin: 0'>This video explains how to Pull Request (PR) to merge code from Dev branch to UAT branch.</p></td></tr><tr><td style='padding: 15px;'><p>6. Release Code onto Production</p><p style='margin: 0'>This video explains how to release code onto production.</p></td></tr></tbody></table><br><h4>11. AWS Account Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How to Create an AWS Account</p><p style='margin: 0'>This video demonstrates how to create an AWS account.</p></td></tr></tbody></table>

Jenkins

Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.

Git and GitHub for DevOps Engineers

GitHub is one of the most important code hosting platforms. This hands-on course will help you to understand the concepts with real-world scenarios and use cases. This course will help you become a better developer. No prior coding experience is needed to take up this course, just dedication and commitment to learning.

Git and GitHub Masterclass - Fast-Track Your Journey to Git

Redhill

<h3><b>Git and GitHub course description</b></h3>
      <p> This course covers version control using Git but also
using GUI frontends such as GitHub. The course starts
with a tour of using GitHub but then quickly moves onto
using git from the command line. All elements of git
version control are covered including creation of
repositories, adding and editing files, branches and
merging, rewriting history and handling merge conflicts.
Hands on sessions are used throughout the course.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li>Install git.</li>
					<li>Add and edit files in a repository.</li>
					<li>Create branches and perform merges.</li>
     <li>Handle merge conflicts.</li>
                  </ul>
        <h5>
        <b>Git and GitHub course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone requiring version control.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>None.</p>
              
							<li><b>Duration</b></li>
							
              <p>1 day
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Git and GitHub course contents</b></h3>
      <ul>
				<li>Introduction </li><p>
Version control for software, configuration management. Other uses. Version control systems. What is git? What is GitHub? Distributed version control. Comparison of git to other systems.

</p><li>GitHub </li><p>
Getting started, creating an account, account types, repositories, access control, bug tracking, feature requests. Alternatives to GitHub.
<br /><span>Hands on</span> Using GitHub.

</p><li>Installing git </li><p>
Linux install, Windows install, git config, levels, user.name, user.email.
<br /><span>Hands on</span> Installing and configuring git.

</p><li>Creating repositories </li><p>
git clone, github, git remote, git init.
<br /><span>Hands on</span> Creating a repository.

</p><li>Adding and editing files </li><p> Staging and adding, git add, git commit, git push, git pull, git status, git log. Two stage process. File states: Working, staging, history, untracked. git mv, git rm, .gitignore, git diff, git difftool. Undoing changes.
<br /><span>Hands on</span> Adding and editing files in git.

</p><li>Branching and merging </li><p>
What is a branch, HEAD label, master branch, git branch, git checkout. Feature branches, bux fix branches, integration branches, production branches, fast forward merges, 3 way merges, git merge, git status, git log, tags.
<br /><span>Hands on</span> Making branches, merging.

</p><li>Rewriting history </li><p> git reset, git rebase, advantages.
<br /><span>Hands on</span> Reset commits, rebase a branch.

</p><li>Merge conflicts </li><p>
What is a conflict, conflict resolution process, resolving merges, rebasing, git log, merge tools, configuring merge tools, avoiding conflicts.
<br /><span>Hands on</span> Merge resolution.</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

Git and GitHub for engineers

<strong>Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.</strong>
        <p>Welcome to this extensive course designed for professionals seeking proficiency in Azure DevOps. It begins with foundational project management methodologies, contrasting Waterfall and Agile, and discussing the integration of Agile with DevOps. The course then transitions into practical applications, guiding users through setting up an Azure DevOps Project Space, managing organizations, projects, and teams.

As the course progresses, you'll dive deep into Azure DevOps Boards, learning about work item management, sprint planning, and board customization. The course meticulously covers Azure Repos, offering insights into source control management and Git operations. This is followed by a detailed exploration of Git branching and merging techniques.

The later sections are dedicated to Azure DevOps Pipelines, where you learn to create and manage build and release pipelines, and Azure DevOps Release Pipelines, focusing on automated and multi-stage deployments. The course also touches upon Azure Test Plans and Artifact Management, ensuring a well-rounded understanding of the entire Azure DevOps suite.

Throughout your journey, you will gain hands-on experience with continuous integration and deployment, enhancing your skills in modern DevOps practices and tools.</p>
        <h2>What You Will Learn</h2><p>Compare and contrast Waterfall and Agile methodologies.<br>Utilize Azure Boards for effective project tracking.<br>Implement various Git branching and merging methods.<br>Create and optimize Azure DevOps pipelines for CI/CD.<br>Configure and automate release pipelines for efficient software delivery.<br>Understand Azure Test Plans and Artifacts management.</p>
        <h2>Audience</h2><p>This course is ideal for developers who want to better understand code deployment with DevOps, system administrators and release engineers who want to streamline their software deployment tasks, and value stream leads, project managers, and product owners who want to better understand the CI/CD workflow.<br><br>This will also benefit anyone looking to get a better understanding of Azure DevOps and how it can be introduced into an organization.</p>
        <h2>Approach</h2><p>This course offers practical guidance for effective project management in agile environments. It focuses on managing project components in a unified space, providing context for every action and discussing alternatives. The course ensures clarity on the rationale behind various management decisions.</p>
        <h2>Key Features</h2><p>Explore Azure and DevOps fundamentals, including development tools. * Learn about Azure pipelines and Repos, and understand policies for repository management. * Master Azure Test Plans for bug tracking and Azure Artifacts for asset management in projects.</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Azure-DevOps-and-Continuous-Delivery-With-Git</p>
        <h2>About the Author</h2><h3>Trevoir Williams</h3><p>Trevoir Williams is a software engineer and part-time lecturer. With a master's degree in computer science, he has spent over a decade teaching web, software, and database development courses. He also has extensive industry experience in web application development, Azure Cloud system, and server administration. He enjoys teaching IT and development courses and hopes to impart knowledge of the latest developments in industry standards and techniques to his students.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section will outline the key topics that will be covered and set out the learning objectives, providing you with a clear roadmap of what to expect and the knowledge you will gain throughout the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Overview of the course, outlining the key topics and learning objectives.</p></td></tr></tbody></table><br><h4>2. Project Management and DevOps Concepts</h4><p>This section of the course offers a comprehensive overview of project management methodologies, examining the differences between Waterfall and Agile, the interplay between Agile practices and DevOps, and how Azure DevOps complements GitHub for effective project management.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Waterfall vs Agile</p><p style='margin: 0'>Compares the Waterfall and Agile methodologies in project management.</p></td></tr><tr><td style='padding: 15px;'><p>2. Agile Development and DevOps</p><p style='margin: 0'>Explores the relationship between Agile development practices and DevOps.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure DevOps and GitHub</p><p style='margin: 0'>Discusses how Azure DevOps integrates with GitHub for streamlined project management.</p></td></tr></tbody></table><br><h4>3. Create Azure DevOps Project Space</h4><p>Section 3 of this course provides a comprehensive introduction to Azure DevOps, guiding learners through setting up an account, managing organizations and projects, and effectively handling project settings and teams for optimized project management.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>This video provides an introduction to Azure DevOps project spaces.</p></td></tr><tr><td style='padding: 15px;'><p>2. Create Azure DevOps Account</p><p style='margin: 0'>Step-by-step guide on setting up an Azure DevOps account will be provided in this lesson</p></td></tr><tr><td style='padding: 15px;'><p>3. Manage Organization</p><p style='margin: 0'>Learn the best practices for managing organizations within Azure DevOps in this session.</p></td></tr><tr><td style='padding: 15px;'><p>4. Manage Project</p><p style='margin: 0'>In this session we will focus on the techniques for effective project management in Azure DevOps.</p></td></tr><tr><td style='padding: 15px;'><p>5. Manage Project Settings and Teams</p><p style='margin: 0'>Learn how to configure project settings and manage teams in this session.</p></td></tr></tbody></table><br><h4>4. Azure DevOps Boards</h4><p>This section provides an in-depth exploration of project management within Azure Boards, covering topics such as sprint planning, customization for team needs, creation of custom team processes, effective use of queries and dashboards, and concludes with a comprehensive review of key learnings.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction To Boards and Work Items</p><p style='margin: 0'>This video provides an overview of Azure Boards and their role in project management.</p></td></tr><tr><td style='padding: 15px;'><p>2. Sprint Planning</p><p style='margin: 0'>Strategies for effective sprint planning using Azure DevOps will be covered in detail in this session.</p></td></tr><tr><td style='padding: 15px;'><p>3. Customize Boards For Your Team</p><p style='margin: 0'>Learn the process of personalizing Azure Boards for specific team needs in this lecture.</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating Custom Team Processes</p><p style='margin: 0'>Building custom processes for team collaboration will be covered in this video.</p></td></tr><tr><td style='padding: 15px;'><p>5. Using Queries and Dashboards</p><p style='margin: 0'>Learn the process of leveraging queries and dashboards for project tracking.</p></td></tr><tr><td style='padding: 15px;'><p>6. Section Review</p><p style='margin: 0'>Summarizing key learnings from the Azure DevOps Boards section.</p></td></tr></tbody></table><br><h4>5. Azure DevOps Repos</h4><p>Explore the fundamentals of source control, learn about different systems, and dive into Azure Repos, covering everything from creating new repositories to implementing branch protection and utilizing pull requests.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Source Control?</p><p style='margin: 0'>Introduction to source control and its importance in software development.</p></td></tr><tr><td style='padding: 15px;'><p>2. Types of Source Control Management Systems</p><p style='margin: 0'>Overview of different source control systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure Repos Overview</p><p style='margin: 0'>An introduction to Azure Repos and its features.</p></td></tr><tr><td style='padding: 15px;'><p>4. Create New Repository</p><p style='margin: 0'>Steps to create a new repository in Azure Repos.</p></td></tr><tr><td style='padding: 15px;'><p>5. Clone an existing Repository with Visual Studio Code</p><p style='margin: 0'>How to clone a repo using VS Code.</p></td></tr><tr><td style='padding: 15px;'><p>6. Commit and Push using CLI</p><p style='margin: 0'>Using command line interface for commit and push operations.</p></td></tr><tr><td style='padding: 15px;'><p>7. Commit, Stage and Push using Visual Studio Code</p><p style='margin: 0'>Committing and pushing changes using VS Code.</p></td></tr><tr><td style='padding: 15px;'><p>8. Fetch and Pull Code Changes</p><p style='margin: 0'>Instructions on fetching and pulling code updates.</p></td></tr><tr><td style='padding: 15px;'><p>9. Why Protect a Branch?</p><p style='margin: 0'>Discussing the reasons for branch protection.</p></td></tr><tr><td style='padding: 15px;'><p>10. Implement Branch Protection Policies</p><p style='margin: 0'>Learn how to set up branch protection in Azure Repos in this video.</p></td></tr><tr><td style='padding: 15px;'><p>11. Using Pull Requests</p><p style='margin: 0'>This lecture is a guide on creating and using pull requests.</p></td></tr><tr><td style='padding: 15px;'><p>12. Working with Git tags</p><p style='margin: 0'>We will be exploring the use of Git tags in this video session.</p></td></tr><tr><td style='padding: 15px;'><p>13. Forking a Repo</p><p style='margin: 0'>This video demonstrates how to fork a repository.</p></td></tr><tr><td style='padding: 15px;'><p>14. Section Overview</p><p style='margin: 0'>Let's summarize the key topics covered in this section so far.</p></td></tr></tbody></table><br><h4>6. Git Branching and Merging Methods</h4><p>Delve into the intricacies of Git with insights on branching and merging methods, including explanations on Git merge versus rebase, setting up new branches, resolving merge conflicts, and performing various types of merges like squash commit and semi-linear merge. Conclude with a comprehensive review of Git branching and merging concepts.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Git Merge vs Git Rebase</p><p style='margin: 0'>Explaining the differences between merge and rebase in Git.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setup New Branches</p><p style='margin: 0'>Demonstrating how to create new branches in Git.</p></td></tr><tr><td style='padding: 15px;'><p>3. Performing a Merge (no Fast Forward)</p><p style='margin: 0'>Instructions on performing a non-fast-forward merge.</p></td></tr><tr><td style='padding: 15px;'><p>4. Dealing with Merge Conflicts</p><p style='margin: 0'>Strategies for resolving merge conflicts in Git.</p></td></tr><tr><td style='padding: 15px;'><p>5. Performing a Squash Commit</p><p style='margin: 0'>Learn how to squash multiple commits into one.</p></td></tr><tr><td style='padding: 15px;'><p>6. Performing a Rebase</p><p style='margin: 0'>Step-by-step guide to rebasing in Git.</p></td></tr><tr><td style='padding: 15px;'><p>7. Performing a Semi-Linear Merge</p><p style='margin: 0'>Explaining the concept and process of a semi-linear merge.</p></td></tr><tr><td style='padding: 15px;'><p>8. Section Review</p><p style='margin: 0'>Reviewing and summarizing the concepts of Git branching and merging.</p></td></tr></tbody></table><br><h4>7. Azure DevOps Pipelines</h4><p>In this section, delve into the fundamentals of Azure DevOps Build Pipelines, mastering concepts, configurations, and both YAML and Classic Editor approaches.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Understanding Build and Releases Pipelines</p><p style='margin: 0'>This video introduces the concepts and functionalities of Azure's Build and Release Pipelines, essential for CI/CD processes.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure DevOps Pipelines Key Concepts</p><p style='margin: 0'>Learn the fundamental concepts underlying Azure DevOps Pipelines to effectively utilize them in your projects.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure DevOps Pipelines Overview</p><p style='margin: 0'>A comprehensive overview of Azure DevOps Pipelines, showcasing their role and implementation in software development.</p></td></tr><tr><td style='padding: 15px;'><p>4. Author YAML Azure Pipeline</p><p style='margin: 0'>Guides you through authoring Azure Pipelines using YAML, focusing on syntax and best practices.</p></td></tr><tr><td style='padding: 15px;'><p>5. Configure an Azure DevOps self-hosting agent</p><p style='margin: 0'>Learn to set up a self-hosting agent in Azure DevOps, a crucial step for custom pipeline configurations.</p></td></tr><tr><td style='padding: 15px;'><p>6. Build Pipeline using the Classic Editor</p><p style='margin: 0'>This video demonstrates building pipelines with Azure DevOps' Classic Editor, offering an alternative to YAML.</p></td></tr><tr><td style='padding: 15px;'><p>7. Enable Continuous Integration</p><p style='margin: 0'>Focuses on integrating continuous integration into your build pipeline, enhancing automation and efficiency.</p></td></tr><tr><td style='padding: 15px;'><p>8. Adding a build status badge</p><p style='margin: 0'>Explains how to add a build status badge to your repository, enhancing visibility and status tracking of your builds.</p></td></tr></tbody></table><br><h4>8. Azure DevOps Release Pipelines</h4><p>Explore the intricacies of Azure DevOps Release Pipelines, from initial setup and manual testing to the automation of build and release processes, multi-stage deployments, and key considerations.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure DevOps Release Pipelines Overview</p><p style='margin: 0'>An overview of Azure DevOps Release Pipelines, detailing their role in managing and automating software releases.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setup Release Pipeline</p><p style='margin: 0'>This video provides a step-by-step guide on setting up a Release Pipeline in Azure DevOps, highlighting key configurations and processes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Testing Manual Releases to Azure Web App</p><p style='margin: 0'>Learn how to manually test releases to an Azure Web App, a crucial skill for ensuring the reliability of deployments.</p></td></tr><tr><td style='padding: 15px;'><p>4. Automating Build and Release Pipeline</p><p style='margin: 0'>Covers the automation of build and release processes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Multi-stage Deployments</p><p style='margin: 0'>Discusses the creation of multi-stage deployments in Azure DevOps.</p></td></tr><tr><td style='padding: 15px;'><p>6. Additional Features and Considerations</p><p style='margin: 0'>Explores additional features and important considerations in release pipelines.</p></td></tr></tbody></table><br><h4>9. Azure Test Plans and Artifact Management</h4><p>Uncover the power of Azure Test Plans for test management and Azure DevOps Artifacts for package management, discovering comprehensive insights for efficient software development.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure DevOps Test Plans</p><p style='margin: 0'>This video covers how to utilize Azure Test Plans in Azure DevOps, focusing on creating, managing, and executing test plans and test cases for software development projects.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure DevOps Artifacts</p><p style='margin: 0'>In this video, the focus is on Azure DevOps Artifacts, exploring how to manage, share, and store packages within Azure DevOps, and how to integrate them into the CI/CD pipeline.</p></td></tr></tbody></table><br><h4>10. Conclusion</h4><p>The final section provides a concise summary, emphasizing essential Azure DevOps practices, key takeaways, and guidance for continuous learning in Azure and DevOps realms.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Conclusion</p><p style='margin: 0'>This concluding video summarizes the course, highlighting key takeaways, best practices in Azure DevOps, and possibly providing guidance on next steps for continuous learning in Azure and DevOps environments.</p></td></tr></tbody></table>

CI/CD

ASP.NET

Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.

Azure DevOps and Continuous Delivery with Git

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is designed for developers who want to learn about Git and GitHub.</p>Overview<p>Upon completion of this course, participants will be able to:<br />? Install and run Git<br />? Describe basic concepts of Git version control<br />? Work on multiple branches<br />? Optimize merging and fixing merge conflicts<br />? Create and manage GitHub repositories<br />? Collaborate using GitHub</p><p>This hands-on course teaches participants how to integrate Git and GitHub into their daily command-line workflow. Git operations, customizations of Git functionality, and how to connect to Git via Eclipse are covered as well.</p></div><div id="course-pills-2"><h4>Introduction</h4><ul><li>Introduction to Version Control Systems</li><li>The Birth of Git and Why Git?</li><li>What is GitHub?</li><li>GitHub Repository Concepts</li></ul><h4>Getting Started With Git</h4><ul><li>Installing and Running Git</li><li>The Git command Line</li><li>Configuration Files</li><li>Creating your First Git Repository</li><li>Staging Area</li><li>Git Commit</li><li>Viewing History</li><li>Creating Aliases and Shortcuts</li><li>Hands-on Lab Session</li></ul><h4>Getting Started with GitHub</h4><ul><li>Creating and Configuring a Repository in GitHub</li><li>Uploading your Repository to GitHub</li><li>Understand Repository?s Main Page</li><li>Using the README</li><li>Hands-on Lab Session</li></ul><h4>File Management in Git Locally</h4><ul><li>The Index</li><li>File Classifications in Git</li><li>Rename a File</li><li>Delete a File</li><li>Ignore Files using .gitignore File</li><li>Hands-on Lab Session</li></ul><h4>Collaboration on Pull Requests</h4><ul><li>Cloning and Forking Repositories</li><li>Creating a Pull Request</li><li>Collaborating a Pull Request</li><li>Merging on a Pull Request</li><li>Working with Branches</li><li>Hands-on Lab Session</li></ul><h4>Integrating GitHub with Eclipse</h4><ul><li>Introducing EGit Plugin</li><li>Configuring GitHub in Eclipse</li><li>Working with Eclipse</li><li>Hands-on Lab Session</li></ul><h4>Reviewing and Configuring a Project on GitHub</h4><ul><li>Configuring a Repository</li><li>Adding Collaborators</li><li>Creating Organizations</li><li>Managing Teams</li><li>Introducing Issues</li></ul><h4>Merging, Rebasing and Resolving Conflicts</h4><ul><li>Merging Branches</li><li>Git diff and Commit Ranges</li><li>Working with Merge Conflicts</li><li>Merge Strategies</li><li>Introduction to Rebasing</li><li>Rebasing Branches</li><li>Reverting and Fixing Bad Commits</li><li>Hands-on Lab Session</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Learning Git and GitHub training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Learning Git and GitHub course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

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