GH-300: GitHub Copilot Fundamentals
Be well prepared for the exam and learn how to use Copilot across the full development lifecycle and organization.
AI is playing an increasingly important role in software development. GitHub Copilot supports developers in writing, improving, and understanding code. The GH-300 certification focuses on the effective and responsible use of Copilot in practice. You will learn how to generate better code using prompts, how to evaluate output, and how to apply Copilot in your daily development workflow. You will also learn how to use AI as an integrated development partner across tools, teams, and workflows.
Learn to work with AI-assisted development
With this certification track, you will develop insight into how to use GitHub Copilot in software development. After completing the training:
- You understand how GitHub Copilot works and what its capabilities are
- You can write effective prompts to generate better code suggestions
- You can use Copilot to write, improve, and refactor code
- You can assess AI-generated code for quality and reliability
- You understand the limitations and risks of using AI in development
- You are well prepared for the Microsoft exam GH-300
What you’ll learn
The training is based on the official Microsoft exam guide and provides a practical introduction to working with GitHub Copilot:
- Working with GitHub Copilot
- What GitHub Copilot is and how it works
- Generating code based on context and prompts
- Interpreting and improving suggestions
- Prompting and effective usage
- Writing clear and targeted prompts
- Iterating with Copilot
- Using Copilot for different programming tasks
- Context building (not just prompts)
- Iterative workflows with Copilot Chat
- Application in software development
- Using Copilot when writing code Refactoring and improving existing code
- Generating documentation and tests
- Supporting full development lifecycle (coding, reviewing, testing)
- Using Copilot across different environments and tools
- Quality and responsibility
- Reviewing and validating AI-generated code
- Understanding limitations and risks
- Security, privacy, and responsible use of AI
- Advanced Copilot workflows and integration
- Using Copilot Chat for development tasks
- Supporting code reviews and pull requests
- Working with multi-step and agent-based workflows
- Integrating Copilot into development environments and tools
- Copilot in teams and organizations
- Differences between Individual, Business, and Enterprise plans
- Using Copilot in team environments
- Managing access, policies, and governance
- Secure and responsible adoption in organizations
- Extending Copilot capabilities
- Introduction to Model Context Protocol (MCP)
- Using external tools and integrations
- Configuring Copilot for advanced workflows
- Why this training
- Practical introduction to AI-assisted development
- Directly applicable in daily development work
- Helps you work more productively and efficiently with AI
Practical info
- Target audience: developers and other professionals working with code or software development
- Level: Fundamentals (basic)
- Focus: effective and responsible use of GitHub Copilot in practice
- Duration: tailored, depending on prior knowledge and requirements
- Location: remote or on-site
- Materials: official Microsoft course materials, supplemented with practical cases
- Cost: depends on the training needs and duration of the program
Interested? We will contact you shortly.
Interested? Talk to Esther about it!
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