Whether you’re a Python developer, Java Spring Boot engineer, ReactJS frontend developer, PL/SQL programmer, Selenium automation tester, or AWS cloud engineer, this course shows you how to accelerate every part of the development lifecycle using AI-powered coding tools. Master generative AI for developers with hands-on projects in Python application scaffolding, ReactJS component development, Java enterprise applications, database programming with AI assistance, automated testing with Selenium, and AWS CLI automation. Learn prompt engineering techniques for optimal AI code generation, automated unit testing, integration testing, and deployment automation. Perfect for software developers, full-stack engineers, DevOps engineers, QA automation testers, and programming beginners wanting to leverage artificial intelligence tools for accelerated software development. Course includes real-world projects, AI coding best practices, and comprehensive training in GitHub Copilot, Amazon Q developer assistant, and generative AI programming workflows. Complete AI Development Mastery - What You'll Learn: GitHub Copilot & Amazon Q Fundamentals AI pair programming with GitHub Copilot for faster code developmentAmazon Q developer assistant for AWS cloud development and troubleshootingGenerative AI prompt engineering for optimal code generationAI code completion and intelligent code suggestionsMachine learning for developers - practical AI coding applications Python Development with AI Assistance Python application scaffolding using GitHub Copilot auto-generationAutomated Python code writing with AI-powered suggestionsPython unit testing automation using generative AI toolsPython debugging with artificial intelligence assistanceFlask and Django development accelerated by AI coding tools Java & Spring Boot AI Development Spring Boot application creation with GitHub Copilot assistanceJava enterprise development using AI code generationRESTful API development with automated code completionJava unit testing and integration testing with AI toolsMaven and Gradle project management with AI assistance ReactJS & Frontend Development React component development using AI-powered code generationJavaScript ES6+ programming with GitHub Copilot assistanceFrontend testing automation with AI-generated test casesReact hooks and state management using AI coding assistanceAPI integration and axios configuration with AI tools Database Development & PL/SQL SQL query optimization using AI-powered suggestionsPL/SQL procedure development with GitHub Copilot assistanceDatabase schema design using artificial intelligence toolsOracle database programming with AI code generationDatabase testing automation and performance optimization Selenium Test Automation Selenium WebDriver automation with AI-generated test scriptsCross-browser testing using AI-powered test case creationPage Object Model implementation with GitHub CopilotTestNG and JUnit integration with AI assistanceAutomated regression testing using generative AI tools AWS Cloud Development AWS CLI automation with Amazon Q assistanceCloud infrastructure setup using AI-powered guidanceAWS services integration with AI coding assistanceCloud cost optimization using Amazon Q insightsDevOps automation with AI-generated scripts MCP MCP ArchitectureMCP Server Components and Transport TypesMCP Flow - Server, Client and Host communication over Transport layerMCP Hands On Claude Code Claude Code InstallationClaude Code ArchitectureClaude Code - Slash CommandsClaude Code - MemoryClaude Code - MCPClaude Code - Sub AgentsClaude Code - GitHub WorkflowClaude Code - Hooks Through practical examples and hands-on exercises, you will reinforce your learning and gain the confidence to apply these skills in real-world scenarios. Expert guidance from experienced instructors will support you throughout the course, and you'll have the opportunity to join a community of learners for sharing experiences, asking questions, and collaborating on projects. By the end of this course, you'll be proficient in using GitHub Copilot and Amazon Q to enhance your coding productivity, integrate new technologies efficiently, and follow best practices for code management and collaboration. Join us and take your development skills to the next level! Who this course is for: This GitHub Copilot and Amazon Q course is designed for developers and programmers of all levels who want to enhance their coding productivity using GitHub Copilot. Whether you're a beginner looking to accelerate your learning curve, an intermediate developer aiming to streamline your workflow, or an experienced programmer seeking to integrate AI-powered assistance into your development process, this course offers valuable insights and practical skills.Beginners: New programmers who want to learn how to use GitHub Copilot and Amazon Q to write code faster and with fewer errors, gaining a head start in their coding journey.Intermediate Developers: Those who are already comfortable with programming and are looking to improve their efficiency by leveraging AI-powered GitHub Copilot and Amazon Q Udemy code suggestions.Experienced Programmers: Seasoned developers who want to explore advanced features of GitHub Copilot and Amazon Q to further enhance their productivity and adopt new best practices.Software Engineers: Professionals working in various fields of software development who seek to integrate AI tools into their daily workflows to boost productivity.Coding Enthusiasts: Individuals passionate about coding and eager to explore the latest tools and technologies to stay ahead in the tech industry.This course will equip learners with the skills to effectively use GitHub Copilot and Amazon Q, ensuring they can maximize its potential to write high-quality, efficient code across various programming languages and development environments.