GitHub Copilot GH-300 Certification Prep 2026

This lesson covers how GitHub Copilot works inside the IDE. You will learn how to activate it, use inline suggestions, work with Copilot Chat, and apply Plan Mode. You will also learn how content exclusions control what Copilot can see. These are foundational features that appear throughout the exam.

This lesson covers GitHub Copilot CLI, a full AI agent that runs in the terminal. After completing it you can explain what Copilot CLI is, how it differs from the old gh copilot extension, how to set it up, use its two modes, and control tool permissions. These details are directly testable on the GH-300 exam.

This lesson covers the most advanced Copilot capabilities. Agent Mode, Plan Mode, and MCP. You will learn what Agent Mode can do autonomously, how the three chat modes differ, and how MCP extends Copilot with external tools. These features represent the highest level of Copilot functionality, and the exam tests whether you understand when and why to use each one.

This lesson covers the remaining Copilot features you need for the exam. Code Review, Spaces, Spark, PR summaries, instruction files, the cloud agent, Memory, and GitHub Desktop integration. Each one solves a different problem. After this lesson you know what each feature does, how it is configured, and when to use it.

This lesson explains what happens behind the scenes every time you use GitHub Copilot. After completing it you can trace the full data flow from your IDE to the LLM and back, explain how data sharing differs by plan tier, describe how prompts are constructed, and explain how the proxy filters both input and output. These are directly tested on the GH-300 exam.

This lesson traces the complete lifecycle of a code suggestion from trigger to display and explains the fundamental limitations of large language models. After completing it you can describe every step a suggestion goes through and explain why LLMs produce the behavior they do. These concepts are tested directly on the GH-300 exam and are essential for understanding prompt design.

Prompt engineering is not about finding magic words. It is a structured skill. After this lesson you can describe the four components of an effective prompt and explain how Copilot automatically gathers and prioritizes context — including how to control what it sees. These concepts are tested directly on the GH-300 exam.

The GH-300 exam tests whether you can recognize specific prompting techniques from examples. After this lesson you can identify zero-shot, few-shot, chain-of-thought, and role prompting — and know when to apply each one. Recognizing these techniques on sight is one of the fastest ways to secure exam points.

Knowing the techniques is not enough on its own. This lesson gives you the four principles that guide every prompt you write and explains what happens inside the pipeline when Copilot processes your prompt. After this lesson you can apply the principles in practice and manage your chat history effectively.

This lecture shows where Copilot delivers the most productivity value in day-to-day development. After completing it you can use Copilot for repetitive code generation, refactoring with slash commands, and automated documentation. You will know which scenarios give the highest return and which require more caution.

Testing and security are two areas where Copilot provides concrete, measurable value — and where understanding the limitations matters just as much as understanding the capabilities. After this lesson you can generate unit tests, integration tests, and test data; identify edge cases; use security prompts effectively; and explain why Copilot security warnings are a supplement, not a replacement for proper security auditing.

This lecture covers the privacy controls that enterprise teams rely on most and that the exam tests directly. After completing it you can configure content exclusions at organization, repository and user levels, set editor privacy preferences in VS Code, and explain who owns code that Copilot generates.

This lecture covers the built-in safety mechanisms in GitHub Copilot and how to resolve the most common configuration issues. After completing it you can explain the three duplication detection settings, recognize built-in security warnings, and diagnose the four most frequent Copilot problems. These details are tested directly on the GH-300 exam.

This is the final lecture of the course. It consolidates the most important exam concepts across all six domains, guides you through both Practice Tests and how to use them in sequence, explains what the real exam actually measures, and walks you step by step through GH-300 registration. After this lecture you are ready to book and pass the exam.

GH-300 Exam Registration: >learn.microsoft.com > certifications > github-copilot