2445 Courses

Web development is everything involved in the creation of a website. Typically it refers to the coding and programming side of web site production as opposed to the web design side. It encompasses everything from a simple page of HTML text to complex, feature-rich applications designed to be accessed from various Internet-connected devices. The Junior Web Developer Course is designed to teach you all about you need to become a web developer! You will learn the basics, designing, and planning for web development. Through the course, you will be able to build websites and web apps, start your own online business, comfortable front-end developer, and more! WHO IS THIS COURSE FOR? Junior Web Developer Course is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. ENTRY REQUIREMENT: * This course is available to all learners, of all academic backgrounds. * Learners should be aged 16 or over to undertake the qualification. * Good understanding of the English language, numeracy and ICT are required to attend this course. CPD CERTIFICATE FROM COURSE GATE At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. CAREER PATH This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. COURSE CURRICULUM Web Development Basics What Are Niche Website? 01:00:00 The Role Of Visualization In Education 00:15:00 Identify Your Best Platform Or Software 01:00:00 Select A Web Host 01:00:00 Collect Your Site 00:15:00 Building A Content Rich Website 00:15:00 Build Backlinks 00:30:00 Use SEO, Multimedia And Social Sites 01:30:00 Use Analytics 01:00:00 Wrapping Up 00:15:00 Design & Planning How to Choose the Best Website Design for Your Business 01:00:00 What's in a Domain Suffix? 00:15:00 Website Design Terminology 01:00:00 CSS Explained 00:30:00 Website Designs with Staying Power 00:15:00 How Can I Build my Website for Free 00:30:00 Six Steps to Website Design for Beginners 01:00:00 Dreamweaver or CoffeeCup for Website Design 01:00:00 Using Dreamweaver to Create your Site Layout 00:30:00 Three Crucial Steps to Creating Your Website 00:15:00 Dos and Don'ts of Website Creation 00:30:00 SEO Basics for Effective Website Design 00:15:00 Ideas for Your Internet Business Website Design 01:00:00 Immediately Applicable Design Tips for a User-Friendly Website 00:30:00 6 Reasons to Create a Website 00:15:00 Common Website Design Mistakes 00:30:00 Too Much or Too Little 00:15:00 Why Successful Website Development Does Not Stop at Design 00:15:00 Ideas for Your Personal Website Design 01:00:00 How to Create a Social Networking Website to Enhance your Business 01:00:00 Tips for Designing an Affiliate Website 00:15:00 How to Use WordPress for your Website 00:15:00 Top 14 Reasons to Create a Blog 00:30:00 More Tips for Designing a Successful Blog 00:30:00 More Tips for Designing a Successful Blog 00:30:00 Basic Coding for Web Development HTML Basics 00:30:00 CSS Basics 01:00:00 Web Design & Development: HTML5, CSS3 and JavaScript 02:00:00 PHP Programming Welcome to the world of programming! 00:05:00 Getting Started 00:05:00 Let's Start Coding! 00:05:00 PHP Strings 00:05:00 PHP Variables 00:05:00 Useful Variables 00:05:00 PHP Includes & Problem Solving 00:05:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:05:00 Multiple Conditions 00:05:00 PHP Arrays 00:05:00 PHP Loops 00:05:00 Note on PHP Math Functions: 00:05:00 Functions 00:05:00 PHP Sessions 00:30:00 Cookies 00:05:00 Introduction to MySQL 00:05:00 Making The Connection 00:10:00 Inserting Data 00:05:00 Deleting / Removing Data 00:15:00 Recommended Reading Recommended Reading : Junior Web Developer Course 00:00:00 Mock Exam Mock Exam- Junior Web Developer Course 00:30:00 Final Exam Final Exam- Junior Web Developer Course 00:30:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Duration 5 Days 30 CPD hours This course is intended for Entry- to mid-level network engineers Network administrators Network support technicians Help desk technicians Overview After taking this training, you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM) along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implement redundant switched networks using Spanning Tree Protocol Troubleshoot link aggregation using Etherchannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implement and optimize Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types and areas, summarization, and route filtering for IPv4 and IPv6 Implement External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implement network redundancy using protocols such as Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implement internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implement overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking, including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, including autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.3 training gives you the knowledge and skills needed to install, configure, operate, and troubleshoot an enterprise network and introduces you to overlay network design by using SD-Access and SD-WAN solutions. You?ll also learn to understand and implement security principles and automation and programmability within an enterprise network. COURSE OUTLINE * Examining Cisco Enterprise Network Architecture * Exploring Cisco Switching Paths * Implementing Campus LAN Connectivity * Building Redundant Switched Topology * Implementing Layer 2 Port Aggregation * Understanding EIGRP * Implementing OSPF * Optimizing OSPF * Exploring EBGP * Implementing Network Redundancy * Implementing NAT * Introducing Virtualization Protocols and Techniques * Understanding Virtual Private Networks and Interfaces * Understanding Wireless Principles * Examining Wireless Deployment Options * Understanding Wireless Roaming and Location Services * Examining Wireless AP Operation * Implementing Wireless Client Authentication * Troubleshooting Wireless Client Connectivity * Implementing Network Services * Using Network Analysis Tools * Implementing Infrastructure Security * Implementing Secure Access Control * Discovering the Basics of Python Programming * Discovering Network Programmability Protocols * Implementing Layer 2 Port Aggregation * Discovering Multicast Protocols * Understanding QoS * Exploring Enterprise Network Security Architecture * Exploring Automation and Assurance Using Cisco DNA Center * Examining the Cisco SD-Access Solution * Understanding the Working Principles of the Cisco SD-WAN Solution

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Solutions architects, cloud engineers, including security engineers, delivery and implementation engineers, professional services, and Cloud Center of Excellence (CCOE) Overview In this course, you will learn to: Design and implement a secure network infrastructure Design and implement compute security Design and implement a logging solution Currently, the average cost of a security breach can be upwards of $4 million. AWS Security Best Practices provides an overview of some of the industry best practices for using AWS security and control types. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise. MODULE 1: AWS SECURITY OVERVIEW * Shared responsibility model * Customer challenges * Frameworks and standards * Establishing best practices * Compliance in AWS MODULE 2: SECURING THE NETWORK * Flexible and secure * Security inside the Amazon Virtual Private Cloud (Amazon VPC) * Security services * Third-party security solutions MODULE 3: AMAZON EC2 SECURITY * Compute hardening * Amazon Elastic Block Store (EBS) encryption * Secure management and maintenance * Detecting vulnerabilities * Using AWS Marketplace MODULE 4: MONITORING AND ALERTING * Logging network traffic * Logging user and Application Programming Interface (API) traffic * Visibility with Amazon CloudWatch * Enhancing monitoring and alerting * Verifying your AWS environment ADDITIONAL COURSE DETAILS: Nexus Humans AWS Security Best Practices training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the AWS Security Best Practices 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. 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.

Duration 2 Days 12 CPD hours This course is intended for This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core Cucumber and web testing skills, coupling the most current, effective techniques with the soundest industry practices. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will: Learn the request-response cycle of REST requests Implement a REST controller using Spring Map URLs to service endpoints Use Spring's template class to develop a REST client Bootstrap a Spring REST applications Return different media types for a service Setting the response headers Discuss Exceptions and HTTP Status codes Handle exceptions thrown by a service Spring REST focuses on providing an understanding of the fundamental principles and technologies that are used in the development of RESTful services and clients. This understanding is critical to being able to diagnose, troubleshoot, tune, and perform other lifecycle activities.Working with Spring REST is a two-day, fast-paced coding course geared for experienced developers who have prior working knowledge of Java. Throughout the course students learn the best practices for writing Restful services in Java using Spring Boot. The course provides an in-depth view of the APIs provided by Spring to develop both the REST service and the REST client. IMPLEMENTING REST WITH SPRING * REST principles * Introduction to RESTful Services in Spring * Introduction to REST Clients in Spring * Bootstrapping the REST application * Content Representation * Implementing the REST Service * Error Handling SECURITY AND RESTFUL SERVICES * Securing Untrusted Input * Defending RESTful Services ADDITIONAL COURSE DETAILS: Nexus Humans Working with Spring REST (TT3358) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the Working with Spring REST (TT3358) 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. 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.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. MODULE 1: MACHINE LEARNING OVERVIEW * A brief history of AI, ML, and DL * The business importance of ML * Common challenges in ML * Different types of ML problems and tasks * AI on AWS MODULE 2: INTRODUCTION TO DEEP LEARNING * Introduction to DL * The DL concepts * A summary of how to train DL models on AWS * Introduction to Amazon SageMaker * Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model MODULE 3: INTRODUCTION TO APACHE MXNET * The motivation for and benefits of using MXNet and Gluon * Important terms and APIs used in MXNet * Convolutional neural networks (CNN) architecture * Hands-on lab: Training a CNN on a CIFAR-10 dataset MODULE 4: ML AND DL ARCHITECTURES ON AWS * AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) * Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) * Hands-on lab: Deploying a trained model for prediction on AWS Lambda ADDITIONAL COURSE DETAILS: Nexus Humans Deep Learning on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. 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. While we feel this is the best course for the Deep Learning on AWS 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. 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.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. DATA EXPLORATION AND CLEANING * Python and the Anaconda Package Management System * Different Types of Data Science Problems * Loading the Case Study Data with Jupyter and pandas * Data Quality Assurance and Exploration * Exploring the Financial History Features in the Dataset * Activity 1: Exploring Remaining Financial Features in the Dataset INTRODUCTION TO SCIKIT-LEARN AND MODEL EVALUATION * Introduction * Model Performance Metrics for Binary Classification * Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve DETAILS OF LOGISTIC REGRESSION AND FEATURE EXPLORATION * Introduction * Examining the Relationships between Features and the Response * Univariate Feature Selection: What It Does and Doesn't Do * Building Cloud-Native Applications * Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients THE BIAS-VARIANCE TRADE-OFF * Introduction * Estimating the Coefficients and Intercepts of Logistic Regression * Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters * Activity 4: Cross-Validation and Feature Engineering with the Case Study Data DECISION TREES AND RANDOM FORESTS * Introduction * Decision trees * Random Forests: Ensembles of Decision Trees * Activity 5: Cross-Validation Grid Search with Random Forest IMPUTATION OF MISSING DATA, FINANCIAL ANALYSIS, AND DELIVERY TO CLIENT * Introduction * Review of Modeling Results * Dealing with Missing Data: Imputation Strategies * Activity 6: Deriving Financial Insights * Final Thoughts on Delivering the Predictive Model to the Client

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice ADDRESSING BUSINESS ISSUES WITH DATA SCIENCE * Topic A: Initiate a Data Science Project * Topic B: Formulate a Data Science Problem EXTRACTING, TRANSFORMING, AND LOADING DATA * Topic A: Extract Data * Topic B: Transform Data * Topic C: Load Data ANALYZING DATA * Topic A: Examine Data * Topic B: Explore the Underlying Distribution of Data * Topic C: Use Visualizations to Analyze Data * Topic D: Preprocess Data DESIGNING A MACHINE LEARNING APPROACH * Topic A: Identify Machine Learning Concepts * Topic B: Test a Hypothesis DEVELOPING CLASSIFICATION MODELS * Topic A: Train and Tune Classification Models * Topic B: Evaluate Classification Models DEVELOPING REGRESSION MODELS * Topic A: Train and Tune Regression Models * Topic B: Evaluate Regression Models DEVELOPING CLUSTERING MODELS * Topic A: Train and Tune Clustering Models * Topic B: Evaluate Clustering Models FINALIZING A DATA SCIENCE PROJECT * Topic A: Communicate Results to Stakeholders * Topic B: Demonstrate Models in a Web App * Topic C: Implement and Test Production Pipelines

This one-day workshop is ideal for those looking to work with existing databases as well as creating a new Access database. You will learn effective ways to enter and extract data and convert data into a well-presented format for reports. This course will help participants: * Plan and create a database * Sort and filter records * Use field data types * Work with tables * Create and manage a query * Create and work with forms, and use the form wizard * View, create and print reports 1 ACCESS INTRODUCED * Planning a database * Creating a blank database * Opening an existing database * Security warnings * The navigation pane * Previewing database components * Closing an Access database 2 TABLES INTRODUCED * Viewing and navigating table data * Navigating using keyboard shortcuts * Editing table data * Adding records to tables * Selecting and deleting records * Finding and replacing data * Filtering tables * Summing table data 3 QUERIES INTRODUCED * Opening a query in datasheet view * Opening a query in design view * Adding fields to a query * Sorting query results * Modifying datasheet view * Saving and closing queries 4 FORMS INTRODUCED * Working with form data * Sorting records * Filtering records * Working in design and layout views * Changing object attributes 5 REPORTS INTRODUCED * Opening and viewing reports * Viewing a report in design view * Previewing and printing report data * Creating reports with auto report * Creating reports with the report wizard * Changing field attributes 6 CREATING A NEW DATABASE * Creating database tables * Creating table fields * Selecting field data types 7 TABLE RELATIONSHIPS * Introducing relationships * Establishing table relationships * The one-to-many relationship type * Establishing referential integrity 8 CREATING QUERIES * Streamline query criteria using wildcards * Creating summary queries * Creating queries based on criteria * Running date queries * Formatting field properties * Building queries from multiple tables * Summing in queries 9 CREATING FORMS * Creating a new form * Inserting form fields * Working with the property sheet * The command button wizard * The command button wizard * Programming without typing * Creating forms with embedded sub forms * Creating forms with the sub form wizard * Creating forms with the form wizard 10 CREATING REPORTS * What are report bands? * Managing report controls * Basing reports on multiple tables * Basing reports on queries * Sorting and grouping records

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, Technology Consultants, and Users. In this course, students will gain SAP Netweaver Business Warehouse knowledge necessary for successful implementation and administration within a heterogeneous SAP NetWeaver BW system landscape. DATA WAREHOUSING * Describing Data Warehouse Systems * Describing Data Warehouse Architecture * Using the Data Warehousing Workbench MASTER DATA MODELING IN SAP BW * Describing InfoObjects * Creating Characteristic InfoObjects THE LOADING OF MASTER DATA FROM SAP DATA SOURCES * Describing Data Flow * Modeling a Master Data Flow * Loading a Master Data Flow * Modeling with the Graphical Data Flow Tool LOADING OF TRANSACTION DATA FROM SAP DATASOURCES * Describing the Core InfoProviders * Creating a Key Figure InfoObject * Creating a DataStore Object (DSO) * Loading Transaction Data into a Data Store Object * Describing the Extended Star Schema of an InfoCube * Creating InfoCubes * Loading Transaction Data into an InfoCube MASTER DATA LOADING FROM FLAT FILE DATA SOURCES * Loading Data From a Flat File * Describing the Data Flow in Detail * Describing the Data Loading Process in Detail INFOPROVIDERS IN SAP BW * Explaining the InfoProviders Used in SAP BW ? Introduction * Creating MultiProviders USAGE OF SAP BI CONTENT * Using BI Content QUERY PERFORMANCE OPTIMIZATION * Optimizing Query Performance * Monitoring Performance * Creating and Filling Aggregates THE SAP BW ADMINISTRATION * Describing Administrative Tasks and Tools * Administrating the InfoCubes * Administrating the DataStore Objects * Creating Process Chains

Diploma in Construction Management Level 3 covers essential theories, principles, and practical techniques applicable to the construction industry. From understanding project procurement methods to mastering construction management processes, this diploma equips you with the knowledge and skills needed for a successful career in construction management