
Why Choose 1-on-1 Training
Part 1: GitHub Copilot Fundamentals
Module 1: Responsible AI with GitHub Copilot
Module 2: Introduction to GitHub Copilot
Module 3: Introduction to Prompt Engineering with GitHub Copilot
Module 4: Introduction to Copilot Spaces
Module 5: Using Advanced GitHub Copilot Features
Module 6: GitHub Copilot Across Environments: IDE, Chat, GitHub.com, Command Line Techniques, and the GitHub Copilot App
Module 7: Management and Customization Considerations with GitHub Copilot
Module 8: Developer Use Cases for AI with GitHub Copilot
Module 9: Develop Unit Tests Using GitHub Copilot Tools
Part 2: GitHub Copilot Fundamentals
Module 10: Building Applications with GitHub Copilot Agent Mode
Module 11: Accelerate Development with GitHub Copilot Cloud Agent
Module 12: Introduction to MCP Server
Module 13: Leveling Up Code Reviews and Pull Requests with GitHub Copilot
Module 14: Using GitHub Copilot with JavaScript
Module 15: Using GitHub Copilot with Python
1 Day
Certification: Microsoft Certified: GitHub Copilot
Exam: GH-300: GitHub Copilot
Duration: 100 minutes
Format: Proctored certification exam with interactive components that may be included.

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GH-300 is Microsoft's GitHub Copilot course covering responsible AI, Copilot features, prompt engineering, development workflows, testing, management, privacy, and newer Copilot capabilities such as Agent Mode and Cloud Agent.
Yes. GH-300 is associated with the Microsoft Certified: GitHub Copilot certification. The certification validates skills in using GitHub Copilot to improve software development productivity, quality, and security.
The learning paths require a basic understanding of GitHub fundamentals. For the certification exam, Microsoft expects candidates to have experience with at least one programming language in addition to GitHub fundamentals.
Yes. The current curriculum includes a dedicated module on Building Applications with GitHub Copilot Agent Mode, covering autonomous development tasks, documentation-guided development, codebase iteration, error fixing, refactoring, and feature development.
Yes. The course addresses responsible AI, management and customization, content exclusions, contractual protections, privacy, safeguards, and troubleshooting. The current GH-300 exam also measures GitHub Copilot data and architecture and configuration of privacy, content exclusions, and safeguards.
Take a step closer to grow and glow in your career.
Take a step closer to grow and glow in your career.
