What you'll learn:
- Understand GitHub Copilot architecture, plans, and AI-powered features
- Set up and configure Copilot in VS Code, Chat UI, CLI, and MCP environments
- Master Copilot Interaction Modes — Ask Mode, Plan Mode, Edit Mode, and Agent Mode
- Work with built-in Expert Agents for advanced AI workflows and data analysis
- Apply advanced Prompt Engineering techniques for high-quality AI responses
- Understand Responsible AI concepts, risks, validation, and harm mitigation
- Learn how GitHub Copilot processes prompts and handles data internally
- Use Copilot across SDLC workflows including debugging, documentation, modernization, and automation
- Generate unit tests, integration tests, and edge-case testing using AI assistance
- Improve performance, security, and code quality using Copilot suggestions
- Build real projects using Python, Java, CLI tools, and automation workflows
- Prepare effectively for the GH-300 GitHub Copilot Certification exam
Prepare for the GH-300: GitHub Copilot Certification Exam and master AI-powered development with a complete, hands-on training designed for modern developers.
This comprehensive course takes you from beginner to advanced in GitHub Copilot, covering real-world workflows such as prompt engineering, AI interaction modes, testing, debugging, automation, performance optimization, and Responsible AI practices.
You will learn how to use GitHub Copilot as an AI pair programmer inside VS Code, Chat, CLI, and MCP workflows, while understanding how Copilot works behind the scenes — including data handling, limitations, and best practices for safe AI usage.
Unlike basic tutorials, this course focuses on practical development scenarios aligned with the GH-300 certification objectives, including:
Copilot Ask, Plan, Edit, and Agent Mode
Built-in Expert Agents like AI Agent Expert and Data Analysis Expert
Prompt Engineering and Context Optimization
Software Development Lifecycle (SDLC) use cases
Testing strategies, edge-case validation, and code quality improvements
Security analysis and performance optimization
Real-world projects using Python, Java, CLI, and automation workflows
Through structured lessons, quizzes, hands-on coding projects, and exam-focused explanations, you will gain both the confidence to pass the GH-300 exam and the practical skills needed to integrate AI into everyday development workflows.
Whether you are a developer, student, DevOps engineer, or AI enthusiast — this course will help you unlock the full power of GitHub Copilot and future-proof your coding skills.
