Name: Python Machine Learning Crash Course for Beginners
Price: 134.99 GBP
Availability: InStock

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					<div><p>The comprehensive Digital Electronics and Circuit Design has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Digital Electronics and Circuit Design today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Digital Electronics and Circuit Design has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Digital Electronics and Circuit Design is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Digital Electronics and Circuit Design is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Digital Electronics and Circuit Design is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Digital Electronics and Circuit Design, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Digital Electronics and Circuit Design will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Digital Electronics and Circuit Design to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Digital Electronics and Circuit Design

General Admission

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					<div><p>Intelligent electronic devices (IEDs) are integrated microprocessor-based controllers of power system equipment, such as circuit breakers and capacitor banks. The <strong>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</strong> course is designed to provide you with a complete understanding of how digital electric circuits work in modern intelligent electrical devices (IEDs). It is ideal for anyone looking to kickstart a career in electronics engineering. </p><p>Through expert video training and instructor guidance, you will explore the fundamentals of digital electronics, from their numbering system to the applications of adders and flip flop types in intelligent electrical devices. You will gain the practical and theoretical knowledge you need to fast track a career in this field and build electronic circuits with expertise.</p></div>
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					<div><p><span>This best selling </span><b><span><b>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</b> </span></b><span>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth </span><b><span><b>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</b> </span></b><span>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</span></p><p><span><span>The </span><b>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</b> is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The </span><b><span><b>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</b> </span></b><span>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</span></p><p><span><span>After successfully completing the</span><b> Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</b>, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the </span><span><b>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2</b></span> will help you stand out from the crowd. You can also validate your certification on our website.</p><p><span><span>We know that you are busy and that time is precious, so we have designed the </span><b>Digital Electric Circuits &amp; Intelligent Electrical Devices Level 2 </b>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </span></p><p><span><span>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</span></span></p></div>
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Digital Electric Circuits & Intelligent Electrical Devices Level 2

<strong>Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis</strong>
        <p>Machine Learning is one of the fundamental skills you need to become a data scientist. It's the steppingstone that will help you understand deep learning and modern data analysis techniques. 

In this course, you'll explore the three fundamental machine learning topics - linear regression, logistic regression, and cluster analysis. Even neural networks geeks (like us) can't help but admit that it's these three simple methods that data science revolves around. So, in this course, we will make the otherwise complex subject matter easy to understand and apply in practice. This course supports statistics theory with practical application of these quantitative methods in Python to help you develop skills in the context of data science. 

We've developed this course with not one but two machine learning libraries: StatsModels and sklearn. You'll be eager to complete this course and get ready to become a successful data scientist! 

All the code and supporting files for this course are available at https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels</p>
        <h2>What You Will Learn</h2><p>Confidently work with two of the leading ML packages: statsmodels and sklearn <br>Understand how to perform a linear regression <br>Become familiar with the ins and outs of logistic regression <br>Get to grips with carrying out cluster analysis (both flat and hierarchical) <br>Apply your skills to real-life business cases <br>Get insights into the underlying ideas behind ML models</p>
        <h2>Audience</h2><p>If you want to get acquainted with fundamental machine learning methods, become a successful data scientist, or just get started with building valuable skills in machine learning and data science, this course is for you.</p>
        <h2>Approach</h2><p>The course has a perfect blend of theory and practical knowledge to help you gain a solid understand of the concepts covered.</p>
        <h2>Key Features</h2><p>Learn machine learning with StatsModels and sklearn  * Apply machine learning skills to solve real-world business cases  * Get started with linear regression, logistic regression, and cluster analysis</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/machine-learning-101-with-scikit-learn-and-statsmodels</p>
        <h2>About the Author</h2><h3>365 Careers Ltd.</h3><p>365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Setting Up the Working Environment</h4><p></p><br><h4>3. Linear Regression with StatsModels</h4><p></p><br><h4>4. Linear Regression with Sklearn</h4><p></p><br><h4>5. Linear Regression - Practical Example</h4><p></p><br><h4>6. Logistic Regression</h4><p></p><br><h4>7. Cluster Analysis</h4><p></p><br><h4>8. Cluster Analysis: Additional Topics</h4><p></p>

Packt

Python

Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis

Machine Learning 101 with Scikit-learn and StatsModels

Java

Kafka

A beginner-level course that follows a step-by-step approach to learning the fundamentals and core concepts of Apache Kafka 3.0. You will work through interesting activities such as programming a Twitter producer and Elasticsearch consumer to understand the various concepts.

Apache Kafka Series - Learn Apache Kafka for Beginners v3

<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>

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

Clustering and Classification with Machine Learning in Python

<p>Progression in today's data-driven world requires proficiency in Python data science. Proficiency in Python for data science can revolutionise one's career by enabling professionals to build models, extract insights, and make well-informed decisions from large datasets. This can lead to a variety of opportunities across industries. Because of its simplicity of use, data scientists prefer it over other languages for efficiently handling data. Robust data manipulation, analysis, visualisation, and machine learning tools are available with Python's vast libraries, including NumPy, Pandas, Matplotlib, and Scikit-learn. These tools enable experts to use Python to efficiently extract insights, build predictive models, and make data-driven decisions. To get everything you need in one place, sign up for our QLS-approved <strong>"Python Data Science: QLS Machine Learning"</strong> course!</p><p>The fundamentals of Python for data science are the main focus of the course <strong>"Python Data Science: QLS Machine Learning."</strong> It begins with an introductory unit that familiarises students with the syntax of Python and critical ideas in data science. The upcoming units focus on specialised software for data cleaning and visualisation, two essential skills for any data scientist. A range of Python techniques and tools that facilitate the cleanup of jumbled datasets and the creation of visually appealing data visualisations are covered in the course.</p><p>Missing out on this perfect pack will be a significant loss for IT enthusiasts. Take the "<strong>Python Data Science-QLS Machine Learning</strong>" course to discover the full potential of Python in data science. Explore the possibilities of Python for more than just data manipulation and cleaning. Get practical experience with the state-of-the-art instruments and methods necessary for a prosperous data science career.</p><p><strong>Learning outcomes</strong> at a glance:</p><p>Completing the study of this <strong>Python Data Science-QLS Machine Learning </strong>makes learners able to:</p><ul><li>Learn the syntax of Python to manipulate and analyse data</li><li>Use data cleaning software to prepare datasets effectively</li><li>Make effective use of data visualisation tools when presenting insights</li><li>Apply predictive analysis and machine learning methods</li><li>Analyse and effectively convey conclusions drawn from data visualisations</li><li>Gain knowledge of Python for practical data science applications</li></ul><p><strong>Kinstone Open College </strong>offers the following services for the<strong> "Python Data Science-QLS Machine Learning" course</strong><strong>:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS-endorsed certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>"QLS approved this accredited course as a highly qualified, unregulated training programme and supply. A trainer will be available to address your inquiries, including how to advance into additional higher education."</strong></p><p><strong>Course Curriculum of </strong><strong>Python Data Science</strong></p><ul><li><strong>Unit 01:</strong> Introduction to Python Data Science</li><li><strong>Unit 02:</strong> Data Cleaning Packages</li><li><strong>Unit 03:</strong> Data Visualisation packages</li></ul><p><strong>Assessment and Certification</strong></p><p>To receive a Python Data Science certificate, learners must submit a comprehensive assignment summarising all the units our expert tutor will assess. The assignment must meet the learning outcomes according to the standard set by QLS. The learner will be awarded the certificate once the assignment passes the quality check.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>When the course is over, students will receive an endorsed certificate to prove they completed it. A certificate can be obtained if the student completes all class assessments.</p><h2>
        
        <div>CPD</div>
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                                        10 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Regardless of experience and educational background, anyone can study and benefit from this <strong>Python Data Science-QLS Machine Learning</strong> course. However, the following categories of learners are the best for this course:</p><ul><li><strong>Data Enthusiasts:</strong> People who have a strong interest in working with data and are keen to see how Python may help with data cleaning, analysis, and visualisation</li><li><strong>Aspiring Data Scientists: </strong>People who want to work in data science and are looking for a core understanding of Python for machine learning and data manipulation.</li><li><strong>Analytics Professionals</strong>: Analytics experts are eager to broaden their expertise by becoming proficient in Python's data handling packages to enable more effective analysis.</li><li><strong>Business Analysts:</strong> professionals who want to sharpen their abilities in interpreting data so they can use visualisation to communicate their ideas successfully.</li><li><strong>Computer Science Students:</strong> Computer science students who want hands-on experience with Python-based data analysis and manipulation</li><li><strong>Career Switchers:</strong> People making the move into the data science field who need to have a basic understanding of the use of Python in data analysis.</li><li><strong>Researchers and Academics:</strong> Academic professionals who want to use Python for data-related research and disseminate their findings with clear and concise visual aids.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this Python Data Science course. So, learners are not required to have prior qualifications to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Python Data Science-QLS Machine Learning </strong>course is relevant and demanded in many job roles, including:</p><ul><li>Data Analyst: £25,000 to £50,000</li><li>Data Scientist: £35,000 to £80,000</li><li>Machine Learning Engineer: £40,000 to £90,000</li><li>Business Intelligence Analyst: £30,000 to £60,000</li><li>Quantitative Analyst: £40,000 to £100,000+</li><li>Data Engineer: £40,000 to £80,000</li><li>Research Scientist (in AI/ML): £40,000 to £90,000+</li></ul>
                        </div>

Kingston Open College

Managed Learning Programme (MLP)

Data Science

NLP Practitioner

Professional Skills Course (PSC)

Data Skills

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Python Data Science - QLS Machine Learning

<p>Learn the logical concepts of Data Science &amp; Machine Learning with R, a comprehensive course that covers key topics such as data manipulation, visualisation, report creation, web app development, and introduction to machine learning. Gain the necessary skills to start a successful career in the field of Data Science and Machine Learning.</p><p><strong>Key Takeaways:</strong></p><ul><li>Understand the fundamentals of Data Science and Machine Learning using R.</li><li>Analyse and manipulate data using various data types and structures in R.</li><li>Create visually appealing data visualisations to extract insights from complex datasets.</li><li>Develop interactive web applications using R Shiny for data presentation and analysis.</li><li>Gain proficiency in creating reports using R Markdown for efficient data communication.</li><li>Explore the basics of Machine Learning and its applications in solving real-world problems.</li><li>Acquire the knowledge and confidence to pursue a rewarding career in Data Science.</li></ul><p><strong>Our Service for the </strong><strong>Data Science &amp; Machine Learning with R</strong><strong> Includes: </strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Data Science &amp; Machine Learning with R</strong></p><ul><li>Data Science and Machine Learning Course Intro</li><li>Getting Started with R</li><li>Data Types and Structures in R</li><li>Intermediate R</li><li>Data Manipulation in R</li><li>Data Visualization in R</li><li>Creating Reports with R Markdown</li><li>Building Webapps with R Shiny</li><li>Introduction to Machine Learning</li><li>Starting A Career in Data Science</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Data Science &amp; Machine Learning with R certificate.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.</p><p><strong>Endorsement:</strong></p><p>QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        20 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals interested in entering the field of Data Science and Machine Learning.</li><li>Professionals looking to enhance their data manipulation and analysis skills using R.</li><li>Graduates seeking to gain a competitive edge in the job market with specialized knowledge in Data Science.</li><li>Those who want to explore the applications of Machine Learning and its impact on various industries.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this Data Science &amp; Machine Learning with R course. So learners do not require any prior qualifications to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £45,000 per annum</li><li>Machine Learning Engineer: £35,000 - £65,000 per annum</li><li>Data Scientist: £40,000 - £70,000 per annum</li><li>Business Intelligence Analyst: £30,000 - £55,000 per annum</li><li>Data Engineer: £35,000 - £60,000 per annum</li><li>AI Research Scientist: £50,000 - £90,000 per annum</li></ul>
                        </div>

Learning & Development

Learning Support Assistant (LSA)

Data Engineering

Level 7 QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Level 7 Diploma in Data Science & Machine Learning with R - QLS Endorsed

Selenium

Programming

Jenkins

Know Selenium WebDriver concepts, but need to know how to build a framework by putting together all the knowledge? Are you a quality assurance automation professional willing to intensify your current test automation skill sets? Are you looking to step into the automation industry with the latest technologies in the market? If the answer is yes, then this course is for you.

Selenium WebDriver Advanced - Complete Framework

Python is one of the most useful programming languages to learn. You can learn back-end of web applications, games, in-house scripts, and even build a robust test automation framework.

Learn Python 3 from Scratch

<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

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is designed for anyone who needs an understanding of IT Service Management to help deliver better value to customers. It is appropriate for all IT staff and management, as well as customers who work closely with IT to support business requirements. This course is also designed for students who are seeking the ITILÂ© 4 Foundation certification and who want to prepare for ITILÂ© 4 Foundation exam.</p>Overview<p>By the completion of this course, you will have a deep understanding of the 7 Guiding Principles, 4 Dimensions of Service Management, 34 ITILÂ© Practices, and the new Service Value Chain that incorporate the core of ITILÂ© version 4.</p><p>ITILÂ© is the world?s leading best practice framework for implementing IT Service Management. ITIL version 4 introduces IT Service Management through the lens of a Service Value System (SVS), which provides a holistic end-to-end view of how to successfully contribute to business value, and also how to leverage concepts from models such as Lean IT, Agile, DevOps and Organizational Change Management. This foundational course immerses you in the guiding principles, dimensions, and practices of ITILÂ© 4.  This course will earn you 21 PDUs. <br /><br /> <b>This class includes an exam voucher. </b></p></div><div id="course-pills-2"><h3>1 - ITIL 4 OVERVIEW</h3> <ul> <li>Introduction to ITIL</li> <li>Key Concepts of ITIL</li> </ul> <h3>2 - The ITIL Framework</h3> <ul> <li>The Four Dimensions of Service Management</li> <li>The ITIL Service Value System</li> </ul> <h3>3 - The ITIL Guiding Principles</h3> <ul> <li>Focus on Value</li> <li>Start Where You Are</li> <li>Progress Iteratively with Feedback</li> <li>Collaborate and Promote Visibility</li> <li>Think and Work Holistically</li> <li>Keep It Simple and Practical</li> <li>Optimize and Automate</li> </ul> <h3>4 - THE ITIL SERVICE VALUE SYSTEM (SVS)</h3> <ul> <li>Governance</li> <li>The Service Value Chain</li> <li>Continual Improvement</li> </ul> <h3>5 - Key ITIL Practices</h3> <ul> <li>Continual Improvement</li> <li>Service Level Management</li> <li>Change Control</li> <li>Incident Management</li> <li>Service Request Management</li> <li>Service Desk</li> <li>Problem Management</li> </ul> <h3>6 - Other ITIL Practices</h3> <ul> <li>General Management Practices</li> <li>Service Management Practices</li> <li>Technical Management Practices</li> </ul></div>

Nexus Human

IT Service Management

ITIL

IT Certifications

IT (Information Technology)

International Trauma Life Support (ITLS)

Institute of Leadership & Management (ILM)

ITILÂ© 4 Foundation

<div data-node="61658ba442cd6" style="color: rgb(117, 117, 117); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(117, 117, 117);"><div data-node="61658ba442cd7" fr-original-style="" style="box-sizing: border-box;"><div data-node="61658ba442cd8" fr-original-style="" style="box-sizing: border-box;"><div data-node="61658ba442cd9" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><div data-node="6165945ab79d7" style="color: rgb(117, 117, 117); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(117, 117, 117);"><div data-node="6165945ab79d8" fr-original-style="" style="box-sizing: border-box;"><div data-node="6165945ab79d9" fr-original-style="" style="box-sizing: border-box;"><div data-node="6165945ab79da" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><div data-node="61657d76a40c2" style="color: rgb(117, 117, 117); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(117, 117, 117);"><div data-node="61657d76a40c3" fr-original-style="" style="box-sizing: border-box;"><div data-node="61657d76a40c4" fr-original-style="" style="box-sizing: border-box;"><div data-node="61657d76a40c5" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Digital Electronics Course</span></h3></div><div data-node="618322664d7fd" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Aim</span></h3><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">This <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Electronics Course</strong>&nbsp;is designed to give practical knowledge of the type of electronic circuitry used in a modern Computer System or in any type of Computer Controlled equipment such as Photocopiers, Cash Registers, Tablets, mobile phones and many other types of IT equipment.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Digital Electronics involves the use of Silicon chips (Integrated Circuits). The internal structure of a computer is to a large extent comprised of Digital Electronic Circuits.</p></div></div><div data-node="618322b7d4864" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Duration and Schedule</span></h3><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">This <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Electronics Course</strong> runs over 10 evenings (every Monday and Wednesday) from 7.00pm to 10.00pm with the next course commencing on&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(255, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(255, 0, 0);">Monday 2nd September 2024 at 7.00 pm</span>.</strong></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(255, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(255, 0, 0);"><b style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">A payment of &pound;65 secures your place on your chosen course.</b><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">&nbsp;The balance of the course fees of &pound;600 can be paid shortly before course commencement.</span></span><br fr-original-style="" style="box-sizing: border-box;"></strong></p></div></div></div></div></div><div data-node="61657d76a40c7" style="color: rgb(117, 117, 117); box-sizing: border-box;" fr-original-style=" color: rgb(117, 117, 117);"><div data-node="61657d76a40c8" fr-original-style="" style="box-sizing: border-box;"><div data-node="61657d76a40c9" fr-original-style="" style="box-sizing: border-box;"><div data-node="6183230b58256" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Online Virtual Classroom &ndash; how it works?</span></h3><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">The course will be delivered through 9 online virtual classroom sessions. The 10th and last session will involve the additional practical work for the course as well as the written examination (multiple choice for City &amp; Guilds and written for Hi-Tech Training) which will take place at our training centre at 43 North Great Georges Street, Dublin 1 (completed online for non ROI learners).</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">During the virtual classroom sessions, trainees will have a live video feed with their instructor talking to them, doing practical live demonstrations on equipment being involved actively in the learning.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">We will send out a practical kit so that trainees can complete assignments and practical work at home. The kit is the property of Hi-Tech Training and will be returned to Hi-Tech Training on the last day of the course.<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">(The kits may also be purchased by the learner&hellip;.see the&nbsp;<a href="http://hitechtraining.ie/product-category/electronics-courses/digital-electronics-course/" target="_blank" rel="noopener" style="color: rgb(209, 33, 56); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(209, 33, 56);">Kits Page Link</a>&nbsp;for more details).<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">The kit consists of power supply unit breadboard, multimeter, cables, The kit consists of breadboard, multimeter, oscilloscope, battery and connectors, components including resistors, LEDs and ICs (AND, NAND, OR, NOR, X-OR, X-NOR, Inverter, Buffer, Latches, Flip-Flops, Timers, etc). Trainees will build various projects as part of the course. The kit forms an integral part of the course, so full course fees need to be paid at least 7 days prior to course commencement to allow time to ship the kit in time for the course.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">* If attending the course from outside of Ireland the course practical training kit must be purchased via our online shop in time for delivery before course commencement. The equipment will then remain the property of the trainee.</strong></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">In preparation for each course, we have a quick informal free 1 hr online meeting approx. 7 days prior to course commencement, to make sure that trainees get connected through Zoom properly, let them know what the virtual classroom will be like and go through any questions they may have. To join the virtual sessions, you will need a PC/Laptop or Tablet with an internet connection. Joining instructions (login IDs, etc.) will be sent before the Informal Induction session.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></p></div></div><div data-node="61657d76a40d2" data-animation-delay="0.0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Learning Objectives</span></h3><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">This course equips participants with practical &ldquo;Hands-on&rdquo; skills relevant to the workplace and the theory required for certification. Participants can expect to have the skills to:&nbsp;</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Build and fault-finding a range of Digital Electronic circuits used in computers and computer-controlled equipment</li><li fr-original-style="" style="box-sizing: border-box;">Use test equipment including Multimeters, Oscilloscopes, logic probes and pulsers to implement systematic fault-finding techniques.</li><li fr-original-style="" style="box-sizing: border-box;">Study and use of popular Digital Electronic gates and more advanced circuits</li></ul></div></div><div data-node="61657d76a40d7" data-animation-delay="0.0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Course Content</span></h3><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction to Electronics: &ndash; Electric Current, OHMS Law, Insulation, Conduction and related Formulae. Resistor colour codes.</li><li fr-original-style="" style="box-sizing: border-box;">Practical study of Digital I.C.s including AND, NAND, OR, NOR, X-OR, X-NOR, Inverter, Buffer, SR Latches and D-Latches and Flip-Flops.</li><li fr-original-style="" style="box-sizing: border-box;">Oscillators, Multivibrators and 555 Timers. Switches and Switch De-bounce circuits and their applications.</li><li fr-original-style="" style="box-sizing: border-box;">Numbering systems, TTL and CMOS technologies</li><li fr-original-style="" style="box-sizing: border-box;">Counters, Counter Decoding Circuitry, Shift Registers</li><li fr-original-style="" style="box-sizing: border-box;">A-D and D-A converters</li><li fr-original-style="" style="box-sizing: border-box;">Digital Displays: &ndash; LED and LCD, numeric and alphanumeric, operating currents, voltages and power requirements. Display decoders and drivers.</li><li fr-original-style="" style="box-sizing: border-box;">Test Equipment: &ndash; Practical use of Analogue and Digital Multimeters, Oscilloscopes, Logic probes, Logic Pulsers, etc.</li><li fr-original-style="" style="box-sizing: border-box;">Fault-finding techniques: &ndash; Diagnosing and rectifying faults on circuits built during course.</li><li fr-original-style="" style="box-sizing: border-box;">Health &amp; Safety, Care of Tools and instruments for assembly and repair</li></ul></div></div></div></div></div><div data-node="61657d76a40d3" style="color: rgb(117, 117, 117); box-sizing: border-box;" fr-original-style=" color: rgb(117, 117, 117);"><div data-node="61657d76a40d4" fr-original-style="" style="box-sizing: border-box;"><div data-node="61657d76a40d5" fr-original-style="" style="box-sizing: border-box;"><div data-node="61657d76a40d6" data-animation-delay="0.0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Certification</span></h3><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">City &amp; Guilds of London Institute Digital Electronics 2 (Examination No. 7267-425). This examination consists of 1 written paper and 4 practical assignments. The qualification can be used as part of the requirement for <a title="City & Guilds Diploma in IT Systems Support" href="http://hitechtraining.ie/city-guilds-certification/" style="color: rgb(209, 33, 56); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(209, 33, 56);">City &amp; Guilds Diploma in IT Systems Support (7267-24).</a></li><li fr-original-style="" style="box-sizing: border-box;">On completion of the Course, having been successful in an examination, the participant will receive a Hi-Tech Training Certificate.</li></ul></div></div><div data-node="61657d76a40d8" data-animation-delay="0" data-animation-duration="1" fr-original-style="" style="box-sizing: border-box;"><img width="794" height="602" src="http://hitechtraining.ie/wp-content/uploads/2022/02/Hi-Tech-City-Guilds-Diploma-in-IT-Systems-Support-7267-24.png" alt="Hi Tech - City & Guilds Diploma in IT Systems Support (7267-24)" itemprop="image" srcset="https://hitechtraining.ie/wp-content/uploads/2022/02/Hi-Tech-City-Guilds-Diploma-in-IT-Systems-Support-7267-24.png 794w, https://hitechtraining.ie/wp-content/uploads/2022/02/Hi-Tech-City-Guilds-Diploma-in-IT-Systems-Support-7267-24-300x227.png 300w, https://hitechtraining.ie/wp-content/uploads/2022/02/Hi-Tech-City-Guilds-Diploma-in-IT-Systems-Support-7267-24-768x582.png 768w, https://hitechtraining.ie/wp-content/uploads/2022/02/Hi-Tech-City-Guilds-Diploma-in-IT-Systems-Support-7267-24-600x455.png 600w, https://hitechtraining.ie/wp-content/uploads/2022/02/Hi-Tech-City-Guilds-Diploma-in-IT-Systems-Support-7267-24-64x49.png 64w" sizes="(max-width: 794px) 100vw, 794px" title="Hi Tech - City & Guilds Diploma in IT Systems Support (7267-24)" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div></div></div></div></div></div></div></div></div></div></div></div><div data-node="61658ba442ce7" style="color: rgb(117, 117, 117); box-sizing: border-box;" fr-original-style=" color: rgb(117, 117, 117);"><div data-node="61658ba442ce8" fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div></div>

Hi-Tech Training

City & Guilds

Electronics

Digital Design

Electrical Engineering

Analog Electronics

Computer Engineering

Digital Skills

Online Education

This Digital Electronics Course is designed to give practical knowledge of the type of electronic circuitry used in a modern Computer System or in any type of Computer Controlled equipment such as Photocopiers, Cash Registers, Tablets, mobile phones and many other types of IT equipment. 

Digital Electronics involves the use of Silicon chips (Integrated Circuits). The internal structure of a computer is to a large extent comprised of Digital Electronic Circuits.

Digital Electronics Course Online

Deposit Only

Full Price (including Deposit)

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences.</p>Overview<p>After completing this course, you will be able to:<br />Describe Microsoft Power Platform components<br />Describe Microsoft Dataverse and connectors<br />Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services<br />Identify benefits and capabilities of Microsoft Power Platform<br />Identify the basic functionality and business value Microsoft Power Platform components<br />Implement simple solutions with Power Apps, Power Automate, and Power BI</p><p>Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Dataverse, build a Power BI Dashboard, and automate processes with Power Automate. </p></div><div id="course-pills-2"><h4>Module 1: Introduction to Microsoft Power Platform</h4><ul><li>Identify when to use each Microsoft Power Platform component application to create business solution</li><li>Learn the value of using Microsoft Power Platform to create business solutions</li><li>Learn the components and features of Microsoft Power Platform</li></ul><h4>Module 2: Introduction to Microsoft Dataverse</h4><ul><li>Microsoft Dataverse Overview</li></ul><h4>Module 3: Get Started with Power Apps</h4><ul><li>Introduction to Power Apps</li><li>How to build a canvas app</li><li>How to build a model-driven app</li></ul><h4>Module 4: Get Started with Power Automate</h4><ul><li>Power Automate Overview</li><li>How to Build an Automated Solution</li></ul><h4>Module 5: Get Started with Power BI</h4><ul><li>Power BI Overview</li><li>How to Build a Simple Dashboard</li></ul><h4>Module 6: Introduction to Power Virtual Agents</h4><ul><li>Power Virtual Agents overview</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans PL-900T00 Microsoft Power Platform Fundamentals 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 PL-900T00 Microsoft Power Platform Fundamentals 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>

Microsoft PL-900

Microsoft Power Apps

Microsoft AZ-900

Microsoft Power Platform

Microsoft AZ-303

Microsoft AZ-700

PL-900T00 Microsoft Power Platform Fundamentals

<div id="course-pills-1" fr-original-style="" style="box-sizing: border-box;">Duration

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">5 Days</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">30 CPD hours</p>This course is intended for

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is designed for individuals who have basic computer user skills and who are interested in obtaining a job as an entry-level IT technician. This course is also designed for students who are seeking the CompTIA A+ certification and who want to prepare for the CompTIA A+ Core 1 220-1101 Certification Exam and the CompTIA A+ Core 2 220-1102 Certification Exam.</p>Overview

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">On course completion, participants will be able to: Support operating systems. Install and configure PC system unit components and peripheral devices. Install, configure, and troubleshoot display and multimedia devices. Install, configure, and troubleshoot storage devices. Install, configure, and troubleshoot internal system components. Install, configure, and maintain operating systems. Maintain and troubleshoot Microsoft Windows. Explain network infrastructure concepts. Configure and troubleshoot network connections. Manage users, workstations, and shared resources. Implement client virtualization and cloud computing. Implement physical security. Secure workstations and data. Troubleshoot workstation security issues. Support and troubleshoot laptops. Support and troubleshoot mobile devices. Install, configure, and troubleshoot print devices. Implement operational procedures.</p>

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA A+ certified professionals are proven problem solvers. They support today&#39;s core technologies from security to cloud to data management and more. CompTIA A+ is the industry standard for launching IT careers into today&#39;s digital world. It is the only industry recognized credential with performance-based items to prove pros can think on their feet to perform critical IT support tasks in the moment. It is trusted by employers around the world to identify the go-to person in end point management and technical support roles. CompTIA A+ is regularly re-invented by IT experts to ensure that it validates core skills and abilities demanded in the workplace.</p>
</div>
<div id="course-pills-2" fr-original-style="" style="box-sizing: border-box;">

<h3 fr-original-style="" style="box-sizing: border-box;">1 - Installing Motherboards and Connectors</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Explain Cable Types and Connectors</li>
<li fr-original-style="" style="box-sizing: border-box;">Install and Configure Motherboards</li>
<li fr-original-style="" style="box-sizing: border-box;">Explain Legacy Cable Types</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">2 - Installing System Devices</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Install and Configure Power Supplies and Cooling</li>
<li fr-original-style="" style="box-sizing: border-box;">Select and Install Storage Devices</li>
<li fr-original-style="" style="box-sizing: border-box;">Install and Configure System Memory</li>
<li fr-original-style="" style="box-sizing: border-box;">Install and Configure CPUs</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">3 - Troubleshooting PC Hardware</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Apply Troubleshooting Methodology</li>
<li fr-original-style="" style="box-sizing: border-box;">Configure BIOS/UEFI</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Power and Disk Issues</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot System and Display Issues</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">4 - Comparing Local Networking Hardware</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Compare Network Types</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Networking Hardware</li>
<li fr-original-style="" style="box-sizing: border-box;">Explain Network Cable Types</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Wireless Networking Types</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">5 - Configuring Network Addressing and Internet Connections</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Compare Internet Connection Types</li>
<li fr-original-style="" style="box-sizing: border-box;">Use Basic TCP/IP Concepts</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Protocols and Ports</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Network Configuration Concepts</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">6 - Supporting Network Services</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Summarize Services Provided by Networked Hosts</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Internet and Embedded Appliances</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Networks</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">7 - Summarizing Virtualization and Cloud Concepts</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Summarize Client-Side Virtualization</li>
<li fr-original-style="" style="box-sizing: border-box;">Summarize Cloud Concepts</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">8 - Supporting Mobile Devices</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Set Up Mobile Devices and Peripherals</li>
<li fr-original-style="" style="box-sizing: border-box;">Configure Mobile Device Apps</li>
<li fr-original-style="" style="box-sizing: border-box;">Install and Configure Laptop Hardware</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Mobile Device Issues</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">9 - Supporting Print Devices</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Deploy Printer and Multifunction Devices</li>
<li fr-original-style="" style="box-sizing: border-box;">Replace Print Device Consumables</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Print Device Issues</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">10 - Configuring Windows</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Configure Windows User Settings</li>
<li fr-original-style="" style="box-sizing: border-box;">Configure Windows System Settings</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">11 - Managing Windows</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Use Management Consoles</li>
<li fr-original-style="" style="box-sizing: border-box;">Use Performance and Troubleshooting Tools</li>
<li fr-original-style="" style="box-sizing: border-box;">Use Command-line Tools</li>

</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">12 - Identifying OS Types and Features</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Explain OS Types</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Windows Editions</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">13 - Supporting Windows</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Perform OS Installations and Upgrades</li>
<li fr-original-style="" style="box-sizing: border-box;">Install and Configure Applications</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Windows OS Problems</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">14 - Managing Windows Networking</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Manage Windows Networking</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Windows Networking</li>
<li fr-original-style="" style="box-sizing: border-box;">Configure Windows Security Settings</li>
<li fr-original-style="" style="box-sizing: border-box;">Manage Windows Shares</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">15 - Managing Linux and macOS</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Identify Features of Linux</li>
<li fr-original-style="" style="box-sizing: border-box;">Identify Features of macOS</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">16 - Configuring SOHO Network Security</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Explain Attacks, Threats, and Vulnerabilities</li>
<li fr-original-style="" style="box-sizing: border-box;">Compare Wireless Security Protocols</li>
<li fr-original-style="" style="box-sizing: border-box;">Configure SOHO Router Security</li>
<li fr-original-style="" style="box-sizing: border-box;">Summarize Security Measures</li>

</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">17 - Managing Security Settings</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Configure Workstation Security</li>
<li fr-original-style="" style="box-sizing: border-box;">Configure Browser Security</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Workstation Security Issues</li>

</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">18 - Supporting Mobile Software</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Configure Mobile OS Security</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Mobile OS and App Software</li>
<li fr-original-style="" style="box-sizing: border-box;">Troubleshoot Mobile OS and App Security</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">19 - Using Support and Scripting Tools</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Use Remote Access Technologies</li>
<li fr-original-style="" style="box-sizing: border-box;">Implement Backup and Recovery</li>
<li fr-original-style="" style="box-sizing: border-box;">Explain Data Handling Best Practices</li>
<li fr-original-style="" style="box-sizing: border-box;">Identify Basics of Scripting</li>
</ul>

<h3 fr-original-style="" style="box-sizing: border-box;">20 - Implementing Operational Procedures</h3>

<ul fr-original-style="" style="box-sizing: border-box;">
<li fr-original-style="" style="box-sizing: border-box;">Implement Best Practice Documentation</li>
<li fr-original-style="" style="box-sizing: border-box;">Use Proper Communication Techniques</li>
<li fr-original-style="" style="box-sizing: border-box;">Use Common Safety and Environmental Procedures
</li>
</ul>

</div>

IT Technician

CompTIA Network+

Computer Skills

Computer Technician

CompTIA A+

CompTIA Security+

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This course is targeted to those seeking A+ Certification and anyone in these roles:<br />IT Support Specialist<br />Helpdesk Technician<br />Field Technician<br />Tier I Support Specialist<br />Desktop Support Specialist<br />Associate Network Engineer<br />Systems Support Technician<br />Junior Systems Administrator</p>Overview<p>At completion of this course, you will be able to:<br />Install and configure end-user devices and software<br />Address connectivity problems<br />Perform basic cybersecurity mitigations<br />Troubleshoot common problems to diagnose and resolve issues<br />Demonstrate basic knowledge of scripting, the cloud, and virtualization</p><p>CompTIA A+ certified professionals are proven problem solvers. They support today?s core technologies from security to networking to virtualization and more. CompTIA A+ is the industry standard for launching IT careers into today?s digital world. This course, prepares you for the CompTIA A+ Certification exams 220-1101 and 220-1102.<br /></p></div><div id="course-pills-2"><h4>Lesson 1: Installing Motherboards and Connectors</h4><ul><li>Topic 1A: Explain Cable Types and Connectors</li><li>Topic 1B: Install and Configure Motherboards</li><li>Topic 1C: Explain Legacy Cable Types</li></ul><h4>Lesson 2: Installing System Devices</h4><ul><li>Topic 2A: Install and Configure Power Supplies and Cooling</li><li>Topic 2B: Select and Install Storage Devices</li><li>Topic 2C: Install and Configure System Memory</li><li>Topic 2D: Install and Configure CPUs</li></ul><h4>Lesson 3: Troubleshooting PC Hardware</h4><ul><li>Topic 3A: Apply Troubleshooting Methodology</li><li>Topic 3B: Configure BIOS/UEFI</li><li>Topic 3C: Troubleshoot Power and Disk Issues</li><li>Topic 3D: Troubleshoot System and Display Issues</li></ul><h4>Lesson 4: Comparing Local Networking Hardware</h4><ul><li>Topic 4A: Compare Network Types</li><li>Topic 4B: Compare Networking Hardware</li><li>Topic 4C: Explain Network Cable Types</li><li>Topic 4D: Compare Wireless Networking Types</li></ul><h4>Lesson 5: Configuring Network Addressing and Internet Connections</h4><ul><li>Topic 5A: Compare Internet Connection Types</li><li>Topic 5B: Use Basic TCP/IP Concepts</li><li>Topic 5C: Compare Protocols and Ports</li><li>Topic 5D: Compare Network Configuration Concepts</li></ul><h4>Lesson 6: Supporting Network Services</h4><ul><li>Topic 6A: Summarize Services Provided by Networked Hosts</li><li>Topic 6B: Compare Internet and Embedded Appliances</li><li>Topic 6C: Troubleshoot Networks</li></ul><h4>Lesson 7: Summarizing Virtualization and Cloud Concepts</h4><ul><li>Topic 7A: Summarize Client-Side Virtualization</li><li>Topic 7B: Summarize Cloud Concepts</li></ul><h4>Lesson 8: Supporting Mobile Devices</h4><ul><li>Topic 8A: Set Up Mobile Devices and Peripherals</li><li>Topic 8B: Configure Mobile Device Apps</li><li>Topic 8C: Install and Configure Laptop Hardware</li><li>Topic 8D: Troubleshoot Mobile Device Issues</li></ul><h4>Lesson 9: Supporting Print Devices</h4><ul><li>Topic 9A: Deploy Printer and Multifunction Devices</li><li>Topic 9B: Replace Print Device Consumables</li><li>Topic 9C: Troubleshoot Print Device Issues</li></ul><h4>Lesson 10: Configuring Windows</h4><ul><li>Topic 10A: Configure Windows User Settings</li><li>Topic 10B: Configure Windows System Settings</li></ul><h4>Lesson 11: Managing Windows</h4><ul><li>Topic 11A: Use Management Consoles</li><li>Topic 11B: Use Performance and Troubleshooting Tools</li><li>Topic 11C: Use Command-line Tools</li></ul><h4>Lesson 12: Identifying OS Types and Features</h4><ul><li>Topic 12A: Explain OS Types</li><li>Topic 12B: Compare Windows Editions</li></ul><h4>Lesson 13: Supporting Windows</h4><ul><li>Topic 13A: Perform OS Installations and Upgrades</li><li>Topic 13B: Install and Configure Applications</li><li>Topic 13C: Troubleshoot Windows OS Problems</li></ul><h4>Lesson 14: Managing Windows Networking</h4><ul><li>Topic 14A: Manage Windows Networking</li><li>Topic 14B: Troubleshoot Windows Networking</li><li>Topic 14C: Configure Windows Security Settings</li><li>Topic 14D: Manage Windows Shares</li></ul><h4>Lesson 15: Managing Linux and macOS</h4><ul><li>Topic 15A: Identify Features of Linux</li><li>Topic 15B: Identify Features of macOS</li></ul><h4>Lesson 16: Configuring SOHO Network Security</h4><ul><li>Topic 16A: Explain Attacks, Threats, and Vulnerabilities</li><li>Topic 16B: Compare Wireless Security Protocols</li><li>Topic 16C: Configure SOHO Router Security</li><li>Topic 16D: Summarize Security Measures</li></ul><h4>Lesson 17: Managing Security Settings</h4><ul><li>Topic 17A: Configure Workstation Security</li><li>Topic 17B: Configure Browser Security</li><li>Topic 17C: Troubleshoot Workstation Security Issues</li></ul><h4>Lesson 18: Supporting Mobile Software</h4><ul><li>Topic 18A: Configure Mobile OS Security</li><li>Topic 18B: Troubleshoot Mobile OS and App Software</li><li>Topic 18C: Troubleshoot Mobile OS and App Security</li></ul><h4>Lesson 19: Using Support and Scripting Tools</h4><ul><li>Topic 19A: Use Remote Access Technologies</li><li>Topic 19B: Implement Backup and Recovery</li><li>Topic 19C: Explain Data Handling Best Practices</li><li>Topic 19D: Identify Basics of Scripting</li></ul><h4>Lesson 20: Implementing Operational Procedures</h4><ul><li>Topic 20A: Implement Best Practice Documentation</li><li>Topic 20B: Use Proper Communication Techniques</li><li>Topic 20C: Use Common Safety and Environmental Procedures</li></ul></div>

Cisco Certified Network Associate (CCNA)

Cisco Certified Entry Networking Technician (CCENT)

CompTIA A+ Certification (Exams 220-1101 and 220-1102)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This course is designed for people who are seeking to launch a career in cybersecurity.</p>Overview<p>Assess the security posture of an enterprise environment and recommend and implement appropriate security solutions; Monitor and secure hybrid environments, including cloud, mobile, and IoT; Operate with an awareness of applicable laws and policies, including principles of governance, risk, and compliance; Identify, analyze, and respond to security events and incidents.</p><p>CompTIA Security+ is a global certification that validates the baseline skills necessary to perform core security functions and is the first security certification a candidate should earn.<br /> <br /> CompTIA Security+ establishes the core knowledge required of any cybersecurity role and provides a springboard to intermediate-level cybersecurity jobs.</p></div><div id="course-pills-2"><h3>Lesson 1: Summarize Fundamental Security Concepts</h3> <ul> <li>Security Concepts</li> <li>Security Controls</li> </ul> <h3>Lesson 2: Compare Threat Types</h3> <ul> <li>Threat Actors</li> <li>Attack Surfaces</li> <li>Social Engineering</li> </ul> <h3>Lesson 3: Explain Cryptographic Solutions</h3> <ul> <li>Cryptographic Algorithms</li> <li>Public Key Infrastructure</li> <li>Cryptographic Solutions</li> </ul> <h3>Lesson 4: Implement Identity and Access Management</h3> <ul> <li>Authentication</li> <li>Authorization</li> <li>Identity Management</li> </ul> <h3>Lesson 5: Secure Enterprise Network Architecture</h3> <ul> <li>Enterprise Network Architecture</li> <li>Network Security Appliances</li> <li>Secure Communications</li> </ul> <h3>Lesson 6: Secure Cloud Network Architecture</h3> <ul> <li>Cloud Infrastructure</li> <li>Embedded Systems and Zero Trust Architecture</li> </ul> <h3>Lesson 7: Explain Resiliency and Site Security Concepts</h3> <ul> <li>Asset Management</li> <li>Redundancy Strategies</li> <li>Physical Security</li> </ul> <h3>Lesson 8: Explain Vulnerability Management</h3> <ul> <li>Device and OS Vulnerabilities</li> <li>Application and Cloud Vulnerabilities</li> <li>Vulnerability Identification Methods</li> <li>Vulnerability Analysis and Remediation</li> </ul> <h3>Lesson 9: Evaluate Network Security Capabilities</h3> <ul> <li>Network Security Baselines</li> <li>Network Security Capability Enhancement</li> </ul> <h3>Lesson 10: Assess Endpoint Security Capabilities</h3> <ul> <li>Implement Endpoint Security</li> <li>Mobile Device Hardening</li> </ul> <h3>Lesson 11: Enhance Application Security Capabilities</h3> <ul> <li>Application Protocol Security Baselines</li> <li>Cloud and Web Application Security Concepts</li> </ul> <h3>Lesson 12: Explain Incident Response and Monitoring Concepts</h3> <ul> <li>Incident Response</li> <li>Digital Forensics</li> <li>Data Sources</li> <li>Alerting and Monitoring Tools</li> </ul> <h3>Lesson 13: Analyze Indicators of Malicious Activity</h3> <ul> <li>Malware Attack Indicators</li> <li>Physical and Network Attack Indicators</li> <li>Application Attack Indicators</li> </ul> <h3>Lesson 14: Summarize Security Governance Concepts</h3> <ul> <li>Policies, Standards, and Procedures</li> <li>Change Management</li> <li>Automation and Orchestration</li> </ul> <h3>Lesson 15: Explain Risk Management Processes</h3> <ul> <li>Risk Management Processes and Concepts</li> <li>Vendor Management Concepts</li> <li>Audits and Assessments</li> </ul> <h3>Lesson 16: Summarize Data Protection and Compliance Concepts</h3> <ul> <li>Data Classification and Compliance</li> <li>Personnel Policies</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans CompTIA Security Plus Certification (Exam SY0-601) 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 CompTIA Security Plus Certification (Exam SY0-601) 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>

Certified in Cybersecurity (CC)

Certificate in Information Security Management Principles (CISMP)

Certified Cyber Professional (CCP)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Collaboration Communications Systems Engineers are responsible for planning, deploying, configuring, maintaining, and troubleshooting Microsoft Teams Phone, meetings, and personal and shared space devices, including Microsoft Teams Rooms and Surface Hub.</p> <p>Collaboration Communications Systems Engineers have a fundamental understanding ofÃ¿networking, telecommunications, audio/visual and meeting room technologies, identity and access management.</p> <p>They are proficient in managing and monitoring Teams Phone, meetings, and certified devices using the Microsoft Teams admin center, PowerShell, the Microsoft Teams Rooms Pro Portal, and the Call Quality Dashboard. They deploy and configure Microsoft Teams Phone with PSTN connectivity through Microsoft Calling Plans, Operator Connect, Teams Phone Mobile, and Direct Routing.</p> <p>Collaboration Communications Systems Engineers work with Teams Administrators, Microsoft Identity and Access Administrators, and Microsoft 365Ã¿Administrators. In addition, they may work with owners of other workloads, including facilitiesÃ¿managers, network engineers, security engineers, device manufacturers, telephony providers, and Microsoft Certified solutions providers.</p><p></p><p></p><p>This training course is designed to give participants the knowledge and skills to become a Collaboration Communications Systems Engineer. Participants should understand the fundamentals of networking, telecommunications, audio/visual and meeting room technologies, identity and access management, and Microsoft Teams.</p> <p>They will gain hands-on experience configuring and deploying Microsoft Teams Phone, meetings and certified devices including Microsoft Teams Rooms and Surface Hub. The course will also cover how to manage and monitor Teams Phone, meetings, and certified devices using the Microsoft Teams admin center, PowerShell, the Microsoft Teams Rooms Pro Portal, and the Call Quality Dashboard.</p> <p>In addition, the course will cover configuring and deploying Microsoft Teams Phone with PSTN connectivity through Microsoft Calling Plans, Operator Connect, Teams Phone Mobile, and Direct Routing.</p><p></p>Prerequisites<p></p><ul> <li>Microsoft 365 and Microsoft Teams</li> <li>Networking, telecommunications, and audio/visual basics</li> <li>Identity and access management basics</li> </ul><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Teams meetings and calling</h3> <ul> <li>Overview of Teams meetings and events</li> <li>Overview of Teams Phone</li> <li>Overview of auto attendants and call queues</li> <li>Overview of Teams devices</li> </ul> <h3>2 - Plan for Teams Phone</h3> <ul> <li>Plan to deploy Teams Phone</li> <li>Plan for Teams Phone PSTN connectivity</li> <li>Determine license requirements</li> <li>Plan for Teams Phone devices</li> <li>Plan and design Teams Phone features</li> <li>Plan for voicemail</li> </ul> <h3>3 - Plan for Microsoft Teams Rooms and Surface Hub</h3> <ul> <li>Determine license requirements for Microsoft Teams Rooms and shared devices</li> <li>Understand differences between Microsoft Teams Rooms on Android and Windows</li> <li>Understand Microsoft Teams Rooms on Surface Hub 2S</li> <li>Understand and plan Teams Room accessories, components, and peripherals</li> <li>Understand Teams Rooms management options</li> </ul> <h3>4 - Plan and optimize network performance for Teams media</h3> <ul> <li>Understand Teams network requirements</li> <li>Design network for media optimization</li> <li>Design and implement QoS</li> </ul> <h3>5 - Configure and deploy Teams Phone</h3> <ul> <li>Configure emergency calling for Teams Calling Plans</li> <li>Manage and configure Microsoft PSTN numbers</li> <li>Configure Operator Connect and Teams Phone Mobile</li> <li>Configure Teams Phone policies</li> <li>Create and manage Teams policies</li> <li>Configure Audio Conferencing</li> </ul> <h3>6 - Configure and deploy Teams Phone with Direct Routing</h3> <ul> <li>Design Direct Routing call flows</li> <li>Implement SIP trunking with Direct Routing</li> <li>Configure Emergency Calling for Direct Routing</li> <li>Extend Teams Direct Routing infrastructure</li> <li>Deploy and maintain a survivable branch appliance</li> </ul> <h3>7 - Extend Teams Phone with additional services</h3> <ul> <li>Understand how Teams interacts with additional services</li> <li>Configure compliance recording in Teams</li> <li>Configure and integrate a certified contact center in Teams</li> <li>Design and deploy voice bots in Teams</li> </ul> <h3>8 - Manage meetings and events experiences</h3> <ul> <li>Explore meetings and events in Microsoft Teams</li> <li>Configure meeting settings</li> <li>Create and manage meeting policies</li> <li>Configure audio conferencing</li> <li>Create and manage meeting templates and template policies</li> <li>Create and manage meetings customization policies</li> <li>Configure live events settings</li> <li>Create and manage live events policies</li> <li>Examine live events across Microsoft 365</li> </ul> <h3>9 - Guided project - Create and assign Teams policies to meet business requirements in Microsoft Teams</h3> <ul> <li>Prepare</li> </ul> <h3>10 - Configure and manage voice users</h3> <ul> <li>Enable users for Teams Phone</li> <li>Enable users for Direct Routing with Teams Phone</li> <li>Enable additional calling features for Teams Phone</li> <li>Enable users for Teams Phone Mobile</li> </ul> <h3>11 - Configure auto attendants and call queues</h3> <ul> <li>Design call flows for auto attendants and call queues</li> <li>Configure auto attendants and call queues</li> <li>Deploy a channel-based call queue</li> <li>Configure resource accounts</li> <li>Configure Microsoft 365 groups for voicemail</li> <li>Interpret call queue conference modes</li> <li>Interpret call queue routing methods</li> <li>Configure holidays for auto attendants and call queues</li> <li>Configure custom music on hold</li> </ul> <h3>12 - Configure, deploy, and manage Teams devices</h3> <ul> <li>Manage Microsoft Teams Phones</li> <li>Manage Microsoft Teams Room Systems</li> <li>Microsoft Teams Rooms management options</li> <li>Manage Surface Hub 2S devices</li> <li>Configure Microsoft Teams SIP gateway</li> <li>Manage Microsoft Teams displays</li> <li>Remote provisioning and sign in for Teams Phones</li> <li>Update Microsoft Teams devices remotely</li> <li>Manage Microsoft Teams device tags</li> </ul> <h3>13 - Guided project - Prepare meeting room experiences</h3> <ul> <li>Prepare</li> </ul> <h3>14 - Monitor and troubleshoot Teams collaboration communications systems</h3> <ul> <li>Diagnose and troubleshoot phone number assignment</li> <li>Diagnose and troubleshoot Teams client issues</li> <li>Diagnose and troubleshoot call failure and call quality issues</li> <li>Report on and troubleshoot Teams calls with Call Quality Dashboard</li> <li>Diagnose and troubleshoot Direct Routing issues</li> <li>Troubleshoot and monitor Teams devices</li> <li>Troubleshoot Teams meetings and calling</li> <li>Troubleshoot Teams Rooms devices</li> </ul></div>

Microsoft Teams

Microsoft Certification

Microsoft Certified Trainer (MCT)

Clinical Engineer

MS-721T00 Collaboration Communications Systems Engineer

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The Microsoft Security Operations Analyst collaborates with organizational stakeholders to secure information technology systems for the organization. Their goal is to reduce organizational risk by rapidly remediating active attacks in the environment, advising on improvements to threat protection practices, and referring violations of organizational policies to appropriate stakeholders. Responsibilities include threat management, monitoring, and response by using a variety of security solutions across their environment. The role primarily investigates, responds to, and hunts for threats using Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft 365 Defender, and third-party security products. Since the Security Operations Analyst consumes the operational output of these tools, they are also a critical stakeholder in the configuration and deployment of these technologies.</p><p></p><p></p><p>Learn how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender. In this course you will learn how to mitigate cyberthreats using these technologies. Specifically, you will configure and use Microsoft Sentinel as well as utilize Kusto Query Language (KQL) to perform detection, analysis, and reporting. The course was designed for people who work in a Security Operations job role and helps learners prepare for the exam SC-200: Microsoft Security Operations Analyst.</p><p></p>Prerequisites<p></p><li>Basic understanding of Microsoft 365</li>  <li>Fundamental understanding of Microsoft security, compliance, and identity products</li>   <li> Intermediate understanding of Windows 10</li>  <li> Familiarity with Azure services, specifically Azure SQL Database and Azure Storage</li>   <li> Familiarity with Azure virtual machines and virtual networking</li>   <li>Basic understanding of scripting concepts.</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Microsoft 365 threat protection</h3> <ul> <li>Explore Extended Detection &amp; Response (XDR) response use cases</li> <li>Understand Microsoft Defender XDR in a Security Operations Center (SOC)</li> <li>Explore Microsoft Security Graph</li> <li>Investigate security incidents in Microsoft Defender XDR</li> </ul> <h3>2 - Mitigate incidents using Microsoft 365 Defender</h3> <ul> <li>Use the Microsoft Defender portal</li> <li>Manage incidents</li> <li>Investigate incidents</li> <li>Manage and investigate alerts</li> <li>Manage automated investigations</li> <li>Use the action center</li> <li>Explore advanced hunting</li> <li>Investigate Microsoft Entra sign-in logs</li> <li>Understand Microsoft Secure Score</li> <li>Analyze threat analytics</li> <li>Analyze reports</li> <li>Configure the Microsoft Defender portal</li> </ul> <h3>3 - Protect your identities with Microsoft Entra ID Protection</h3> <ul> <li>Microsoft Entra ID Protection overview</li> <li>Detect risks with Microsoft Entra ID Protection policies</li> <li>Investigate and remediate risks detected by Microsoft Entra ID Protection</li> </ul> <h3>4 - Remediate risks with Microsoft Defender for Office 365</h3> <ul> <li>Automate, investigate, and remediate</li> <li>Configure, protect, and detect</li> <li>Simulate attacks</li> </ul> <h3>5 - Safeguard your environment with Microsoft Defender for Identity</h3> <ul> <li>Configure Microsoft Defender for Identity sensors</li> <li>Review compromised accounts or data</li> <li>Integrate with other Microsoft tools</li> </ul> <h3>6 - Secure your cloud apps and services with Microsoft Defender for Cloud Apps</h3> <ul> <li>Understand the Defender for Cloud Apps Framework</li> <li>Explore your cloud apps with Cloud Discovery</li> <li>Protect your data and apps with Conditional Access App Control</li> <li>Walk through discovery and access control with Microsoft Defender for Cloud Apps</li> <li>Classify and protect sensitive information</li> <li>Detect Threats</li> </ul> <h3>7 - Respond to data loss prevention alerts using Microsoft 365</h3> <ul> <li>Describe data loss prevention alerts</li> <li>Investigate data loss prevention alerts in Microsoft Purview</li> <li>Investigate data loss prevention alerts in Microsoft Defender for Cloud Apps</li> </ul> <h3>8 - Manage insider risk in Microsoft Purview</h3> <ul> <li>Insider risk management overview</li> <li>Create and manage insider risk policies</li> <li>Investigate insider risk alerts</li> <li>Take action on insider risk alerts through cases</li> <li>Manage insider risk management forensic evidence</li> <li>Create insider risk management notice templates</li> </ul> <h3>9 - Investigate threats by using audit features in Microsoft Defender XDR and Microsoft Purview Standard</h3> <ul> <li>Explore Microsoft Purview Audit solutions</li> <li>Implement Microsoft Purview Audit (Standard)</li> <li>Start recording activity in the Unified Audit Log</li> <li>Search the Unified Audit Log (UAL)</li> <li>Export, configure, and view audit log records</li> <li>Use audit log searching to investigate common support issues</li> </ul> <h3>10 - Investigate threats using audit in Microsoft Defender XDR and Microsoft Purview (Premium)</h3> <ul> <li>Explore Microsoft Purview Audit (Premium)</li> <li>Implement Microsoft Purview Audit (Premium)</li> <li>Manage audit log retention policies</li> <li>Investigate compromised email accounts using Purview Audit (Premium)</li> </ul> <h3>11 - Investigate threats with Content search in Microsoft Purview</h3> <ul> <li>Explore Microsoft Purview eDiscovery solutions</li> <li>Create a content search</li> <li>View the search results and statistics</li> <li>Export the search results and search report</li> <li>Configure search permissions filtering</li> <li>Search for and delete email messages</li> </ul> <h3>12 - Protect against threats with Microsoft Defender for Endpoint</h3> <ul> <li>Practice security administration</li> <li>Hunt threats within your network</li> </ul> <h3>13 - Deploy the Microsoft Defender for Endpoint environment</h3> <ul> <li>Create your environment</li> <li>Understand operating systems compatibility and features</li> <li>Onboard devices</li> <li>Manage access</li> <li>Create and manage roles for role-based access control</li> <li>Configure device groups</li> <li>Configure environment advanced features</li> </ul> <h3>14 - Implement Windows security enhancements with Microsoft Defender for Endpoint</h3> <ul> <li>Understand attack surface reduction</li> <li>Enable attack surface reduction rules</li> </ul> <h3>15 - Perform device investigations in Microsoft Defender for Endpoint</h3> <ul> <li>Use the device inventory list</li> <li>Investigate the device</li> <li>Use behavioral blocking</li> <li>Detect devices with device discovery</li> </ul> <h3>16 - Perform actions on a device using Microsoft Defender for Endpoint</h3> <ul> <li>Explain device actions</li> <li>Run Microsoft Defender antivirus scan on devices</li> <li>Collect investigation package from devices</li> <li>Initiate live response session</li> </ul> <h3>17 - Perform evidence and entities investigations using Microsoft Defender for Endpoint</h3> <ul> <li>Investigate a file</li> <li>Investigate a user account</li> <li>Investigate an IP address</li> <li>Investigate a domain</li> </ul> <h3>18 - Configure and manage automation using Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Manage automation upload and folder settings</li> <li>Configure automated investigation and remediation capabilities</li> <li>Block at risk devices</li> </ul> <h3>19 - Configure for alerts and detections in Microsoft Defender for Endpoint</h3> <ul> <li>Configure advanced features</li> <li>Configure alert notifications</li> <li>Manage alert suppression</li> <li>Manage indicators</li> </ul> <h3>20 - Utilize Vulnerability Management in Microsoft Defender for Endpoint</h3> <ul> <li>Understand vulnerability management</li> <li>Explore vulnerabilities on your devices</li> <li>Manage remediation</li> </ul> <h3>21 - Plan for cloud workload protections using Microsoft Defender for Cloud</h3> <ul> <li>Explain Microsoft Defender for Cloud</li> <li>Describe Microsoft Defender for Cloud workload protections</li> <li>Enable Microsoft Defender for Cloud</li> </ul> <h3>22 - Connect Azure assets to Microsoft Defender for Cloud</h3> <ul> <li>Explore and manage your resources with asset inventory</li> <li>Configure auto provisioning</li> <li>Manual log analytics agent provisioning</li> </ul> <h3>23 - Connect non-Azure resources to Microsoft Defender for Cloud</h3> <ul> <li>Protect non-Azure resources</li> <li>Connect non-Azure machines</li> <li>Connect your AWS accounts</li> <li>Connect your GCP accounts</li> </ul> <h3>24 - Manage your cloud security posture management?</h3> <ul> <li>Explore Secure Score</li> <li>Explore Recommendations</li> <li>Measure and enforce regulatory compliance</li> <li>Understand Workbooks</li> </ul> <h3>25 - Explain cloud workload protections in Microsoft Defender for Cloud</h3> <ul> <li>Understand Microsoft Defender for servers</li> <li>Understand Microsoft Defender for App Service</li> <li>Understand Microsoft Defender for Storage</li> <li>Understand Microsoft Defender for SQL</li> <li>Understand Microsoft Defender for open-source databases</li> <li>Understand Microsoft Defender for Key Vault</li> <li>Understand Microsoft Defender for Resource Manager</li> <li>Understand Microsoft Defender for DNS</li> <li>Understand Microsoft Defender for Containers</li> <li>Understand Microsoft Defender additional protections</li> </ul> <h3>26 - Remediate security alerts using Microsoft Defender for Cloud</h3> <ul> <li>Understand security alerts</li> <li>Remediate alerts and automate responses</li> <li>Suppress alerts from Defender for Cloud</li> <li>Generate threat intelligence reports</li> <li>Respond to alerts from Azure resources</li> </ul> <h3>27 - Construct KQL statements for Microsoft Sentinel</h3> <ul> <li>Understand the Kusto Query Language statement structure</li> <li>Use the search operator</li> <li>Use the where operator</li> <li>Use the let statement</li> <li>Use the extend operator</li> <li>Use the order by operator</li> <li>Use the project operators</li> </ul> <h3>28 - Analyze query results using KQL</h3> <ul> <li>Use the summarize operator</li> <li>Use the summarize operator to filter results</li> <li>Use the summarize operator to prepare data</li> <li>Use the render operator to create visualizations</li> </ul> <h3>29 - Build multi-table statements using KQL</h3> <ul> <li>Use the union operator</li> <li>Use the join operator</li> </ul> <h3>30 - Work with data in Microsoft Sentinel using Kusto Query Language</h3> <ul> <li>Extract data from unstructured string fields</li> <li>Extract data from structured string data</li> <li>Integrate external data</li> <li>Create parsers with functions</li> </ul> <h3>31 - Introduction to Microsoft Sentinel</h3> <ul> <li>What is Microsoft Sentinel?</li> <li>How Microsoft Sentinel works</li> <li>When to use Microsoft Sentinel</li> </ul> <h3>32 - Create and manage Microsoft Sentinel workspaces</h3> <ul> <li>Plan for the Microsoft Sentinel workspace</li> <li>Create a Microsoft Sentinel workspace</li> <li>Manage workspaces across tenants using Azure Lighthouse</li> <li>Understand Microsoft Sentinel permissions and roles</li> <li>Manage Microsoft Sentinel settings</li> <li>Configure logs</li> </ul> <h3>33 - Query logs in Microsoft Sentinel</h3> <ul> <li>Query logs in the logs page</li> <li>Understand Microsoft Sentinel tables</li> <li>Understand common tables</li> <li>Understand Microsoft Defender XDR tables</li> </ul> <h3>34 - Use watchlists in Microsoft Sentinel</h3> <ul> <li>Plan for watchlists</li> <li>Create a watchlist</li> <li>Manage watchlists</li> </ul> <h3>35 - Utilize threat intelligence in Microsoft Sentinel</h3> <ul> <li>Define threat intelligence</li> <li>Manage your threat indicators</li> <li>View your threat indicators with KQL</li> </ul> <h3>36 - Connect data to Microsoft Sentinel using data connectors</h3> <ul> <li>Ingest log data with data connectors</li> <li>Understand data connector providers</li> <li>View connected hosts</li> </ul> <h3>37 - Connect Microsoft services to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft services connectors</li> <li>Connect the Microsoft Office 365 connector</li> <li>Connect the Microsoft Entra connector</li> <li>Connect the Microsoft Entra ID Protection connector</li> <li>Connect the Azure Activity connector</li> </ul> <h3>38 - Connect Microsoft Defender XDR to Microsoft Sentinel</h3> <ul> <li>Plan for Microsoft Defender XDR connectors</li> <li>Connect the Microsoft Defender XDR connector</li> <li>Connect Microsoft Defender for Cloud connector</li> <li>Connect Microsoft Defender for IoT</li> <li>Connect Microsoft Defender legacy connectors</li> </ul> <h3>39 - Connect Windows hosts to Microsoft Sentinel</h3> <ul> <li>Plan for Windows hosts security events connector</li> <li>Connect using the Windows Security Events via AMA Connector</li> <li>Connect using the Security Events via Legacy Agent Connector</li> <li>Collect Sysmon event logs</li> </ul> <h3>40 - Connect Common Event Format logs to Microsoft Sentinel</h3> <ul> <li>Plan for Common Event Format connector</li> <li>Connect your external solution using the Common Event Format connector</li> </ul> <h3>41 - Connect syslog data sources to Microsoft Sentinel</h3> <ul> <li>Plan for syslog data collection</li> <li>Collect data from Linux-based sources using syslog</li> <li>Configure the Data Collection Rule for Syslog Data Sources</li> <li>Parse syslog data with KQL</li> </ul> <h3>42 - Connect threat indicators to Microsoft Sentinel</h3> <ul> <li>Plan for threat intelligence connectors</li> <li>Connect the threat intelligence TAXII connector</li> <li>Connect the threat intelligence platforms connector</li> <li>View your threat indicators with KQL</li> </ul> <h3>43 - Threat detection with Microsoft Sentinel analytics</h3> <ul> <li>What is Microsoft Sentinel Analytics?</li> <li>Types of analytics rules</li> <li>Create an analytics rule from templates</li> <li>Create an analytics rule from wizard</li> <li>Manage analytics rules</li> </ul> <h3>44 - Automation in Microsoft Sentinel</h3> <ul> <li>Understand automation options</li> <li>Create automation rules</li> </ul> <h3>45 - Threat response with Microsoft Sentinel playbooks</h3> <ul> <li>What are Microsoft Sentinel playbooks?</li> <li>Trigger a playbook in real-time</li> <li>Run playbooks on demand</li> </ul> <h3>46 - Security incident management in Microsoft Sentinel</h3> <ul> <li>Understand incidents</li> <li>Incident evidence and entities</li> <li>Incident management</li> </ul> <h3>47 - Identify threats with Behavioral Analytics</h3> <ul> <li>Understand behavioral analytics</li> <li>Explore entities</li> <li>Display entity behavior information</li> <li>Use Anomaly detection analytical rule templates</li> </ul> <h3>48 - Data normalization in Microsoft Sentinel</h3> <ul> <li>Understand data normalization</li> <li>Use ASIM Parsers</li> <li>Understand parameterized KQL functions</li> <li>Create an ASIM Parser</li> <li>Configure Azure Monitor Data Collection Rules</li> </ul> <h3>49 - Query, visualize, and monitor data in Microsoft Sentinel</h3> <ul> <li>Monitor and visualize data</li> <li>Query data using Kusto Query Language</li> <li>Use default Microsoft Sentinel Workbooks</li> <li>Create a new Microsoft Sentinel Workbook</li> </ul> <h3>50 - Manage content in Microsoft Sentinel</h3> <ul> <li>Use solutions from the content hub</li> <li>Use repositories for deployment</li> </ul> <h3>51 - Explain threat hunting concepts in Microsoft Sentinel</h3> <ul> <li>Understand cybersecurity threat hunts</li> <li>Develop a hypothesis</li> <li>Explore MITRE ATT&amp;CK</li> </ul> <h3>52 - Threat hunting with Microsoft Sentinel</h3> <ul> <li>Explore creation and management of threat-hunting queries</li> <li>Save key findings with bookmarks</li> <li>Observe threats over time with livestream</li> </ul> <h3>53 - Use Search jobs in Microsoft Sentinel</h3> <ul> <li>Hunt with a Search Job</li> <li>Restore historical data</li> </ul> <h3>54 - Hunt for threats using notebooks in Microsoft Sentinel</h3> <ul> <li>Access Azure Sentinel data with external tools</li> <li>Hunt with notebooks</li> <li>Create a notebook</li> <li>Explore notebook code</li> </ul></div>

Microsoft AZ-104

Microsoft SC-200

SC-200T00 Microsoft Security Operations Analyst

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>The primary audience for this course is any IT, facilities or data centre professional who works in and around the data centre and who has the responsibility to achieve and improve the availability and manageability of the data centre.</p>Overview<p>After completion of the course the participant will be able to:? Choose an optimum site for mission-critical data centre based on current and future needs? Describe all components that are important for high availability in a data centre and how to effectively setup the data centre? Name and apply the various industry standards? Describe the various technologies for UPS, fire suppression, cooling, monitoring systems, cabling standards, etc, and to select and apply them effectively to cost-efficiently enhance the high-availability of the data centre.? Review the electrical distribution system to avoid costly downtime? Enhance cooling capabilities and efficiency in the data centre by using existing and new techniques and technologies for the increased cooling requirements of the future? Design a highly reliable and scalable network architecture and learn how to ensure installers apply proper testing techniques? Create effective maintenance contracts with equipment suppliers ensuring the best return on investment? Setup effective data centre monitoring ensuring the right people get the right message? Ensure proper security measures, both procedural and technical, are established to safeguard your company's valuable information in the data centre</p><p>The course will address how to setup and improve key aspects such as power, cooling, security, cabling, safety, etc., to ensure a high available data centre. It will also address key operations and maintenance aspects.</p></div><div id="course-pills-2"><h4>The Data Centre, it?s Importance and Causes for Downtime</h4><h4>Data Centre Standards and Best Practices</h4><h4>Data Centre Location, Building and Construction</h4><ul><li>Selecting appropriate sites and buildings and how to avoid pitfalls<br />Various components of an effective data centre and supporting facilities setup</li></ul><h4>Raised Floor/Suspended Ceiling</h4><ul><li>Uniform, concentrated and rolling load definitions<br />Applicable standards<br />Raised Floor guidelines<br />Signal Reference Grid, grounding of racks<br />Disability act and regulations<br />Suspended ceiling usage and requirements</li></ul><h4>Light</h4><ul><li>Standards<br />Light fixture types and placement<br />Emergency lighting, Emergency Power Supply (EPS)</li></ul><h4>Power Infrastructure</h4><ul><li>Power infrastructure layout from generation to rack level<br />ATS and STS systems<br />Redundancy levels and techniques<br />Three-phase and single-phase usage<br />Power distribution options within the computer room<br />Power cabling versus bus bar trunking<br />Bonding versus grounding<br />Common Mode Noise and isolation transformers<br />Distribution boards, form factors and IP-protection grades<br />Power quality guidelines<br />Real power versus apparent power<br />How to size and calculate load in the data centre Generators<br />Static and dynamic UPS systems, selection criteria, how they operate and energy efficiency option<br />Battery types, correct selection and testing<br />Thermo-graphics</li></ul><h4>Electro Magnetic Fields</h4><ul><li>Electrical fields and magnetic fields definitions and units of measurements<br />Sources of EMF<br />Effects of EMF on human health and equipment<br />(H)EMP<br />Standards<br />EMF shielding solutions</li></ul><h4>Equipment Racks</h4><ul><li>Rack standards, properties and selection criteria<br />Security considerations<br />Power rail/strip options</li></ul><h4>Cooling Infrastructure</h4><ul><li>Temperature and humidity recommendations<br />Cooling measurement units and conversion rates<br />Sensible and latent heat definitions<br />Differences between comfort and precision cooling<br />Overview of different air conditioner technologies<br />Raised floor versus non-raised floor cooling<br />Placement of air conditioner units and limitations to be observed<br />Supplemental cooling options<br />Cold aisle/hot aisle containment</li></ul><h4>Water Supply</h4><ul><li>Importance of water supply and application areas<br />Backup water supply techniques</li></ul><h4>Designing a Scalable Network Infrastructure</h4><ul><li>The importance of a Structured Cabling System<br />Planning considerations<br />Copper and Fiber cable technology and standards<br />ANSI/TIA-942 Cabling hierarchy and recommendations<br />Testing and verification<br />SAN storage cabling<br />Network redundancy<br />Building-to-building connectivity<br />Network monitoring system requirements</li></ul><h4>Fire Suppression</h4><ul><li>Standards for fire suppression<br />Detection systems<br />Various total flooding fire suppression techniques and systems, their benefits and disadvantages<br />Handheld extinguishers<br />Signage and safety<br />Regulatory requirements and best practices</li></ul><h4>Data Centre Monitoring</h4><ul><li>Data centre monitoring requirements<br />EMS versus BMS<br />Water leak detection systems<br />Notification options and considerations</li></ul><h4>Operational Security and Safety Practices</h4><ul><li>Data centre security layers<br />Physical, infrastructure and organisational security<br />Safety measures and essential signage</li></ul><h4>Labelling</h4><ul><li>Choosing a labelling scheme<br />Recommended labelling practices<br />Network labelling</li></ul><h4>Documentation</h4><ul><li>How to setup proper documentation<br />Document management policies and procedures</li></ul><h4>Cleaning</h4><ul><li>Cleaning practices for the data centre</li></ul><h4>MTBF/MTTR</h4><ul><li>Standards and definitions<br />Calculation models<br />The ?real? value</li></ul><h4>Maintenance Contracts/SLA/OLA</h4><h4>EXAM: Certified Data Centre Professional</h4></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Certified Data Centre Professional (CDCP) 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 Certified Data Centre Professional (CDCP) 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>

Construction Design & Management (CDM)

Certified Cloud Security Professional (CCSP)

AWS Certified Cloud Practitioner

Certified in Data Protection (CDP)

Certified Data Centre Professional (CDCP)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

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