2987 Software Development courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 2 Days 12 CPD hours This course is intended for Security architects System designers Network administrators Operations engineers Network managers, network or security technicians, and security engineers and managers responsible for web security Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco WSA Deploy proxy services Utilize authentication Describe decryption policies to control HTTPS traffic Understand differentiated traffic access policies and identification profiles Enforce acceptable use control settings Defend against malware Describe data security and data loss prevention Perform administration and troubleshooting The Securing the Web with Cisco Web Security Appliance (SWSA) v3.0 course shows you how to implement, use, and maintain Cisco© Web Security Appliance (WSA), powered by Cisco Talos, to provide advanced protection for business email and control against web security threats. Through a combination of expert instruction and hands-on practice, you?ll learn how to deploy proxy services, use authentication, implement policies to control HTTPS traffic and access, implement use control settings and policies, use the solution?s anti-malware features, implement data security and data loss prevention, perform administration of Cisco WSA solution, and more. Describing Cisco WSA Technology Use Case Cisco WSA Solution Cisco WSA Features Cisco WSA Architecture Proxy Service Integrated Layer 4 Traffic Monitor Data Loss Prevention Cisco Cognitive Intelligence Management Tools Cisco Advanced Web Security Reporting (AWSR) and Third-Party Integration Cisco Content Security Management Appliance (SMA) Deploying Proxy Services Explicit Forward Mode vs. Transparent Mode Transparent Mode Traffic Redirection Web Cache Control Protocol Web Cache Communication Protocol (WCCP) Upstream and Downstream Flow Proxy Bypass Proxy Caching Proxy Auto-Config (PAC) Files FTP Proxy Socket Secure (SOCKS) Proxy Proxy Access Log and HTTP Headers Customizing Error Notifications with End User Notification (EUN) Pages Utilizing Authentication Authentication Protocols Authentication Realms Tracking User Credentials Explicit (Forward) and Transparent Proxy Mode Bypassing Authentication with Problematic Agents Reporting and Authentication Re-Authentication FTP Proxy Authentication Troubleshooting Joining Domains and Test Authentication Integration with Cisco Identity Services Engine (ISE) Creating Decryption Policies to Control HTTPS Traffic Transport Layer Security (TLS)/Secure Sockets Layer (SSL) Inspection Overview Certificate Overview Overview of HTTPS Decryption Policies Activating HTTPS Proxy Function Access Control List (ACL) Tags for HTTPS Inspection Access Log Examples Understanding Differentiated Traffic Access Policies and Identification Profiles Overview of Access Policies Access Policy Groups Overview of Identification Profiles Identification Profiles and Authentication Access Policy and Identification Profiles Processing Order Other Policy Types Access Log Examples ACL Decision Tags and Policy Groups Enforcing Time-Based and Traffic Volume Acceptable Use Policies, and End User Notifications Defending Against Malware Web Reputation Filters Anti-Malware Scanning Scanning Outbound Traffic Anti-Malware and Reputation in Policies File Reputation Filtering and File Analysis Cisco Advanced Malware Protection File Reputation and Analysis Features Integration with Cisco Cognitive Intelligence Enforcing Acceptable Use Control Settings Controlling Web Usage URL Filtering URL Category Solutions Dynamic Content Analysis Engine Web Application Visibility and Control Enforcing Media Bandwidth Limits Software as a Service (SaaS) Access Control Filtering Adult Content Data Security and Data Loss Prevention Data Security Cisco Data Security Solution Data Security Policy Definitions Data Security Logs Performing Administration and Troubleshooting Monitor the Cisco Web Security Appliance Cisco WSA Reports Monitoring System Activity Through Logs System Administration Tasks Troubleshooting Command Line Interface References Comparing Cisco WSA Models Comparing Cisco SMA Models Overview of Connect, Install, and Configure Deploying the Cisco Web Security Appliance Open Virtualization Format (OVF) Template Mapping Cisco Web Security Appliance Virtual Machine (VM) Ports to Correct Networks Connecting to the Cisco Web Security Virtual Appliance Enabling Layer 4 Traffic Monitor (L4TM) Accessing and Running the System Setup Wizard Reconnecting to the Cisco Web Security Appliance High Availability Overview Hardware Redundancy Introducing Common Address Redundancy Protocol (CARP) Configuring Failover Groups for High Availability Feature Comparison Across Traffic Redirection Options Architecture Scenarios When Deploying Cisco AnyConnect© Secure Mobility Additional course details: Nexus Humans SWSA v3.0-Securing the Web with Cisco Web Security Appliance 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 SWSA v3.0-Securing the Web with Cisco Web Security Appliance 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 4 Days 24 CPD hours This course is intended for This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes. Overview Recommend solutions to minimize costs Recommend a solution for Conditional Access, including multi-factor authentication Recommend a solution for a hybrid identity including Azure AD Connect and Azure AD Connect Recommend a solution for using Azure Policy Recommend a solution that includes KeyVault Recommend a solution that includes Azure AD Managed Identities Recommend a storage access solution Design an Azure Site Recovery solution Recommend a solution for autoscaling Recommend a solution for containers Recommend a solution for network security Recommend a solution for migrating applications and VMs Recommend a solution for migration of databases This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution. Design a Compute Solution Recommend a Solution for Compute Provisioning Determine Appropriate Compute Technologies Recommend a Solution for Containers Recommend a Solution for Automating Compute Management Design a Network Solution Recommend a Solution for Network Addressing and Name Resolution Recommend a Solution for Network Provisioning Recommend a Solution for Network Security Recommend a Solution for iInternete Connectivity and On-Premises Networks Recommend a Solution for Automating Network Management Recommend a Solution for Load Balancing and Rraffic Routing Design for Migration Assess and On-Premises Servers and Applications for Migration Recommend a Solution for Migrating Applications and VMs Recommend a Solution for Migration of Databases Design Authentication and Authorization Tips for Identity and Access Management Recommend a Solution for Multi-Factor Authentication Five Steps for Securing Identity Infrastructure Recommend a Solution for Single-Sign On (SSO) Recommend a Solution for a Hybrid Identity Recommend a Solution for B2B Integration Recommend a Hierarchical Structure for Management Groups Design Governance Recommend a Solution for using Azure Policy Recommend a Solution for using Azure Blueprint Design a Solution for Databases Select an Appropriate Data Platform Based on Requirements Overview of Azure Data Storage Recommend Database Service Tier Sizing Dynamically Scale Azure SQL Database and Azure SQL Managed Instances Recommend a Solution for Encrypting Data at Rest, Transmission, and In Use Select an Appropriate Storage Account Understanding Storage Tiers Recommend a Storage Access Solution Recommend Storage Management Tools Design Data Integration Recommend a Data Flow Recommend a Solution for Data Integration Design a Solution for Logging and Monitoring Azure Monitoring Services Azure Monitor Design a Solution for Backup and Recovery Recommend a Recovery Solution for Hybrid and On-Premises Workloads Design and Azure Site Recovery Solution Recommend a Solution for Recovery in Different Regions Recommend a Solution for Azure Backup Management Design a Solution for Data Archiving and Retention Design for High Availability Recommend a Solution for Application and Workload Redundancy Recommend a Solution for Autoscaling Identify Resources that Require High Availability Identify Storage Tpes for High Availability Recommend a Solution for Geo-Redundancy of Workloads Design for Cost Optimization Recommend Solutions for Cost Management Recommended Viewpoints for Minimizing Costs Design an Application Architecture Recommend a Microservices Architecture Recommend an Orchestration Solution for Deployment of Applications Recommend a Solution for API Integration Design Security for Applications Security for Applications and Services Recommend a Solution using Key Vault Recommend Solutions using Azure AD Managed Identities

Duration 5 Days 30 CPD hours This course is intended for Typical candidates for this course are IT professionals who deploy Aruba WLAN with advanced features and individuals who need a basic understanding of AirWave. Overview Upon completion of this course, students will be able to:Explain the integration Mobility Masters and Mobility controllersDescribe redundancy giving the user seamless failoverSetup secure guest access using MultizoneExplain the uses and advantages of clusteringDescribe user mobility in the wireless spectrumIntegrate voice over WiFi and give QOSExplain how roles are assigned to users wireless or wiredLearn to setup remote access using RAPs or VIADescribe how to create a mesh clusterLearn the advantages given to AirGroup when leveraged on an Aruba networkIntegrating wire users into the security given to wireless usersLearn how to use AirWave to monitor the health of the networkLearn how to use AirWave to troubleshoot clientExplain AirWave?s Visual RF feature as well as alerts and triggers This course teaches the knowledge, skills and practical experience required to set up and configure advanced features on Aruba WLAN utilizing the AOS 8.X architecture and features. This course includes lectures and labs which provide the technical understanding and hands-on experience of configuring a redundant Mobility Master with two controllers and two APs. Participants will learn how install a redundant Aruba WLAN network with clustering while using many features like Multizone for guest access, voice optimization and tunneled node. This course includes the AirWave management system and troubleshooting commands. The SWDI course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Professional (ACMP) V8 certification exam. IntroductionMobility Master RedundancyMobility Master and MC OperationsMultizoneIntroduction to MC clustersMobilityRole DerivationRemote AccessVoice OptimizationMeshAdministrationOperationsAirGroupTunneled NodeAirWave IntroductionAirWave Network HealthAirWave Client and Device TroubleshootingAirWave VisualRF, Reports and Alerts

Duration 2 Days 12 CPD hours This course is intended for Software Test Engineers and Test Leaders with minimum two years of experience. Specialists who have experience in software testing and want to deepen both their theoretical and practical knowledge. Overview Please refer to Overview. Practical training that you will learn how to apply additional tools in your work which will help you to optimize it. You will be able to analyze requirements better and to prioritize your tasks. Requirements analysis Effective approaches in requirements analyze What does 'Good Requirement' mean? Change Management Subsystems and actors Practice - Analysis of an actual functional specification Applicable Models and Priorities Specifications of the extraordinary models software projects Prioritizing the tasks of the test team Practice case - Iteration and sprint specifications Test planning Test design approaches Applicable techniques Practice cases with different techniques Defects management Defect status management Applicable metrics Best practices Practical examples of extraordinary applications Additional course details: Nexus Humans Modern approaches and practical tips in software testing 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 Modern approaches and practical tips in software testing 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 3 Days 18 CPD hours This course is intended for This advanced course is for IT professionals tasked with administering a Spectrum Scale system. Overview Please see Overview This course is intended for IT professionals tasked with administering a Spectrum Scale system. It includes information on installing, configuring and monitoring a Spectrum Scale cluster. Migrating to IBM Spectrum Scale 4.2Spectrum Scale 4.2 GUIMulti-clusterClustered NFSCluster Export Services for multi-protocol supportSMB Protocol SupportNFS Support in CES; Ganesha overview/performanceActive File ManagementAFM-Based Disaster Recovery (DR) and Asynchronous DRPlanning LTFS and GPFS environment for data archivingFile Placement OptimizerIBM© GPFS-FPO and integration with GPFS Hadoop connectorIBM© Spectrum Scale Call HomeMonitoring and performance tuningFlash Cache metadata migration

Duration 4.5 Days 27 CPD hours This course is intended for This is an intermediate course intended for IBM i system administrators, data processing managers and other individuals who implement and manage security, backup and recovery, system software and problem determination. This course is not recommended for s Overview Describe and implement the components of IBM i security, such as user profile, group profile, authorization list, adopted authority and object / resource security Develop a security plan for your Power Systems with IBM i Describe the options to implement security auditing Develop a plan to audit security on your Power Systems with IBM i Describe the IBM i availability products and features and choose the option(s) that best fit your company requirements Describe how to backup and recover user, IBM and full system data on your Power Systems with IBM i Develop a backup and recovery plan for your Power Systems with IBM i Describe the system diagnostics and problem determination procedures available on your Power Systems with IBM i Learn how to plan for, implement, and manage the ongoing operations of an IBM i. Class administration and introductions . IBM i overview and concepts . Management central overview . Security concepts and overview . System values . User security . Resource security . Security auditing . Designing security . IBM i availability overview . Disk management . Backup and recovery strategy using Save/Restore . Journal management . Commitment control overview . Backup and recovery planning . Problem determination . Overview of Systems Director Navigator for i . Introduction to BRMS .

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 course is for web developers who are well-versed in JavaScript and want to take their TypeScript knowledge to the next level. No prior TypeScript knowledge is required. Overview By completing this course, you will be able to build interesting TypeScript projects. This course will take your current TypeScript knowledge to the next level. Here are the important topics that this course will cover: - Learn the fundamentals of TypeScript - Build a weather forecast widget with Angular - Create building a note-taking client/server application using Angular, Node.js, and MongoDB - Create a real-time chat application with React In this course, you will begin by learning the fundamentals of TypeScript and then move toward advanced concepts. Then, learn how TypeScript relates to JavaScript that you may have written before. and understand the benefits of TypeScript and how it can help you avoid software defects. You will also learn to use type guards, check null and undefined, create tagged union types, and compare the performance of algorithms. Additionally, you will use TypeScript to build a weather forecast widget with Angular and then progress by building a note-taking client/server application using Angular, Node.js, and MongoDB, and finally create a real-time chat application with React. TypeScript Fundamentals Introduction to TypeScript Type Checking Advanced Type Analysis Features Comparing Performance of Algorithms Building a Weather Forecast Widget with Angular 4 Using Modules Creating the First Component Using the Component in Other Components Using the Main Component Note-Taking Client/Server App Setting up the Server Integrating with MongoDB Creating the Client Side with Angular Real-Time Chat Setting up the Project Writing the Server Creating the Chat Room Additional course details: Nexus Humans Building Web Applications With TypeScript, Angular, and React 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 Building Web Applications With TypeScript, Angular, and React 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.