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GitHub Copilot Fundamentals GH-300

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GitHub Copilot Fundamentals GH-300 is a Microsoft course designed to develop practical knowledge of GitHub Copilot and its use in modern software development. The course covers responsible AI, GitHub Copilot features, prompt engineering, Copilot Spaces, development across different environments, management and customization, developer use cases, testing, and newer capabilities such as Agent Mode, Cloud Agent, MCP, and Copilot-assisted code reviews. The course also addresses how organizations can use GitHub Copilot responsibly by understanding its data and architecture, managing privacy and content exclusions, configuring organizational policies, and applying appropriate safeguards.
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Course Description

Key Takeaways
  • Understand responsible AI principles when using GitHub Copilot.
  • Use GitHub Copilot for code generation, understanding, refactoring, debugging, and testing.
  • Apply prompt engineering and context-crafting techniques.
  • Work with GitHub Copilot across IDEs, GitHub.com, command line, and the Copilot app.
  • Explore Copilot Spaces and advanced Copilot capabilities.
  • Understand Copilot plans, management, customization, privacy, and content exclusions.
  • Use Copilot Agent Mode, Cloud Agent, MCP, and Copilot-assisted code reviews.
  • Apply GitHub Copilot to developer productivity and software development workflows.
Course Outline

Part 1: GitHub Copilot Fundamentals

Module 1: Responsible AI with GitHub Copilot

  • Understand responsible AI principles.
  • Identify and mitigate AI-related risks.
  • Explore Microsoft and GitHub's principles of responsible AI.
  • Understand responsible use of GitHub Copilot.

Module 2: Introduction to GitHub Copilot

  • Understand GitHub Copilot as an AI pair programmer.
  • Interact with GitHub Copilot.
  • Set up, configure, and troubleshoot GitHub Copilot.
  • Develop with AI-powered code suggestions using GitHub Copilot and Visual Studio Code.

Module 3: Introduction to Prompt Engineering with GitHub Copilot

  • Understand prompt engineering foundations and best practices.
  • Explore the GitHub Copilot user prompt process.
  • Understand GitHub Copilot data.
  • Understand Large Language Models and their role in Copilot.

Module 4: Introduction to Copilot Spaces

  • Create and configure Copilot Spaces.
  • Share and manage Spaces.
  • Understand discoverability and governance.
  • Apply appropriate practices when working with Spaces.

Module 5: Using Advanced GitHub Copilot Features

  • Explore advanced GitHub Copilot features.
  • Configure GitHub Copilot with Visual Studio Code.
  • Apply advanced Copilot techniques.
  • Use GitHub Copilot with a Python application.

Module 6: GitHub Copilot Across Environments: IDE, Chat, GitHub.com, Command Line Techniques, and the GitHub Copilot App

  • Use GitHub Copilot for code completion.
  • Work with GitHub Copilot Chat.
  • Use GitHub Copilot on GitHub.com.
  • Use GitHub Copilot for the command line.
  • Explore the GitHub Copilot app.

Module 7: Management and Customization Considerations with GitHub Copilot

  • Explore GitHub Copilot plans.
  • Understand management and customization features.
  • Explore contractual protections and public-code matching controls.
  • Manage content exclusions.
  • Troubleshoot common GitHub Copilot issues.

Module 8: Developer Use Cases for AI with GitHub Copilot

  • Understand AI-assisted developer productivity.
  • Align Copilot with developer workflows.
  • Apply AI across the software development lifecycle.
  • Understand Copilot limitations.
  • Measure the impact of GitHub Copilot.

Module 9: Develop Unit Tests Using GitHub Copilot Tools

  • Examine Visual Studio Code support for unit testing.
  • Generate unit tests using GitHub Copilot Chat.
  • Plan and automate test workflows.
  • Use Plan and Agent modes.
  • Extend tests and address failing tests.

Part 2: GitHub Copilot Fundamentals

Module 10: Building Applications with GitHub Copilot Agent Mode

  • Understand GitHub Copilot Agent Mode.
  • Prompt Agent Mode to perform autonomous development tasks.
  • Use documentation to guide Agent Mode.
  • Allow Copilot to iteratively fix errors, refactor code, and develop new features.

Module 11: Accelerate Development with GitHub Copilot Cloud Agent

  • Understand and enable GitHub Copilot Cloud Agent.
  • Understand security, risks, and limitations.
  • Assign, track, and troubleshoot Cloud Agent tasks.
  • Customize, extend, and validate Cloud Agent work.
  • Apply responsible use practices.

Module 12: Introduction to MCP Server

  • Understand GitHub MCP Server.
  • Configure and connect GitHub MCP Server in Visual Studio Code.
  • Use GitHub MCP Server with Copilot Chat.
  • Troubleshoot common MCP Server issues.

Module 13: Leveling Up Code Reviews and Pull Requests with GitHub Copilot

  • Understand Copilot's role in the code review process.
  • Use Copilot as a reviewer on GitHub.com.
  • Identify issues earlier through AI-assisted reviews.
  • Automate aspects of code reviews.
  • Measure impact and optimize Premium Request Units.

Module 14: Using GitHub Copilot with JavaScript

  • Set up GitHub Copilot with Visual Studio Code.
  • Use GitHub Copilot with JavaScript.
  • Apply Copilot to JavaScript development tasks.

Module 15: Using GitHub Copilot with Python

  • Set up GitHub Copilot with Visual Studio Code.
  • Use GitHub Copilot with Python.
  • Apply Copilot to Python development tasks.
Duration

1 Day

Exam Details

Certification: Microsoft Certified: GitHub Copilot

Exam: GH-300: GitHub Copilot

Duration: 100 minutes

Format: Proctored certification exam with interactive components that may be included.

Lab Outline
  • Setting up and using GitHub Copilot with Visual Studio Code.
  • Developing with AI-powered code suggestions.
  • Creating and configuring Copilot Spaces.
  • Applying advanced Copilot techniques.
  • Developing unit tests with GitHub Copilot.
  • Building applications using Agent Mode.
  • Working with GitHub Copilot Cloud Agent.
  • Integrating GitHub MCP Server with Copilot.
  • Performing Copilot-assisted code reviews.
  • Using GitHub Copilot with JavaScript and Python.
Who should attend
  • AI developers and engineers.
  • Data scientists and analysts.
  • Business leaders and managers.
  • Developers and DevOps professionals working with GitHub Copilot.
  • Professionals responsible for responsible AI practices and governance.
Prerequisites
  • Basic understanding of GitHub fundamentals.
  • Experience with one or more programming languages is recommended for the certification.
  • Familiarity with GitHub Copilot is beneficial.

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FAQs

What is GitHub Copilot Fundamentals GH-300?

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.

Is GH-300 associated with a Microsoft certification?

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.

What programming knowledge is required for GH-300?

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.

Does GH-300 cover GitHub Copilot Agent Mode?

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.

Does GH-300 cover GitHub Copilot security and privacy?

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.

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