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GitHub Copilot GH-300

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The GitHub Copilot GH-300 course is designed to help developers and technology professionals use GitHub Copilot to improve software development productivity, code quality, and security. The course covers responsible AI, GitHub Copilot features across development environments, prompt engineering, context crafting, data and architecture, developer productivity, privacy, content exclusions, and safeguards. Learners explore GitHub Copilot across IDEs, GitHub.com, the command line, Agent Mode, Cloud Agent, Copilot Spaces, MCP, code reviews, and programming workflows. The course also provides practical experience with GitHub Copilot using JavaScript and Python. The training aligns with the GitHub Copilot certification and the current GH-300 exam objectives.
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Course Description

Key Takeaways
  • Use GitHub Copilot responsibly and understand responsible AI principles.
  • Use GitHub Copilot across IDEs, GitHub.com, command line, and other development environments.
  • Apply prompt engineering and context crafting techniques.
  • Use Agent Mode, Cloud Agent, MCP, Copilot Spaces, and code review capabilities.
  • Understand GitHub Copilot data handling and architecture.
  • Improve development productivity through code generation, refactoring, documentation, and testing.
  • Configure privacy, content exclusions, and safeguards.
Course Outline

Part 1 of 2: GitHub Copilot Fundamentals

Module 1: Responsible AI with GitHub Copilot

  • Understand responsible AI principles.
  • Identify risks and limitations associated with generative AI.
  • Apply responsible AI practices when using GitHub Copilot.
  • Understand Microsoft's and GitHub's principles of responsible AI.

Module 2: Introduction to GitHub Copilot

  • Understand GitHub Copilot as an AI-powered coding assistant.
  • Use inline code suggestions.
  • Interact with GitHub Copilot Chat.
  • Configure and troubleshoot GitHub Copilot.
  • Develop with AI-powered code suggestions.

Module 3: Introduction to prompt engineering with GitHub Copilot

  • Understand prompt engineering foundations.
  • Apply prompt engineering best practices.
  • Understand the GitHub Copilot user prompt process.
  • Understand GitHub Copilot data and large language models.
  • Create effective prompts for development tasks.

Module 4: Introduction to Copilot Spaces

  • Create and configure Copilot Spaces.
  • Use Spaces to provide grounded responses.
  • Manage sharing and discoverability.
  • Apply governance considerations.
  • Use Copilot Spaces in development workflows.

Module 5: Using advanced GitHub Copilot features

  • Use advanced GitHub Copilot features.
  • Configure GitHub Copilot with Visual Studio Code.
  • Work with advanced coding assistance capabilities.
  • Apply Copilot capabilities to development projects.

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

  • Use GitHub Copilot across development environments.
  • Work with Copilot in IDEs.
  • Use Copilot Chat.
  • Use Copilot on GitHub.com.
  • Use GitHub Copilot from the command line.
  • Use the GitHub Copilot app to support development workflows.

Module 7: Management and customization considerations with GitHub Copilot

  • Understand GitHub Copilot management considerations.
  • Configure Copilot settings and policies.
  • Customize GitHub Copilot usage.
  • Manage organizational Copilot capabilities.

Module 8: Developer use cases for AI with GitHub Copilot

  • Use GitHub Copilot throughout the software development lifecycle.
  • Improve developer productivity with AI-powered capabilities.
  • Identify appropriate developer use cases.
  • Understand limitations of AI-assisted development.
  • Measure productivity improvements.

Module 9: Develop unit tests using GitHub Copilot tools

  • Use GitHub Copilot and Copilot Chat to create unit tests.
  • Create unit test projects.
  • Generate tests using Copilot.
  • Run unit tests in Visual Studio Code.

Part 2 of 2: GitHub Copilot Fundamentals

Module 10: Building applications with GitHub Copilot Agent Mode

  • Understand GitHub Copilot Agent Mode.
  • Prompt autonomous development tasks.
  • Use documentation to guide development.
  • Allow Agent Mode to iteratively manage, refactor, and improve codebases.

Module 11: Accelerate development with GitHub Copilot Cloud Agent

  • Understand GitHub Copilot Cloud Agent.
  • Delegate development tasks to Cloud Agent.
  • Combine automation with developer expertise.
  • Use GitHub MCP Server with Copilot Chat.

Module 12: Introduction to MCP Server

  • Understand Model Context Protocol.
  • Configure 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

  • Use GitHub Copilot in code reviews.
  • Use Copilot as a reviewer on GitHub.com.
  • Identify issues earlier in the development lifecycle.
  • Automate aspects of code review.
  • Measure impact and optimize premium request units.

Module 14: Using GitHub Copilot with JavaScript

  • Enable the GitHub Copilot extension in Visual Studio Code.
  • Create effective prompts for JavaScript development.
  • Use GitHub Copilot with JavaScript.
  • Improve a JavaScript project using Copilot.

Module 15: Using GitHub Copilot with Python

  • Enable GitHub Copilot in Visual Studio Code.
  • Create prompts for Python development.
  • Use GitHub Copilot with Python.
  • Improve a Python web API using Copilot.
Duration

1 Day

Exam Details

Certification: Microsoft Certified: GitHub Copilot

Exam: GH-300: GitHub Copilot

Duration: 100 minutes

Lab Outline
  • Develop with AI-powered code suggestions using GitHub Copilot and Visual Studio Code.
  • Create and configure Copilot Spaces.
  • Use advanced GitHub Copilot features.
  • Work with Copilot across development environments.
  • Create unit tests using GitHub Copilot.
  • Build applications using Agent Mode.
  • Use GitHub Copilot Cloud Agent.
  • Configure and use GitHub MCP Server.
  • Perform GitHub Copilot-assisted code reviews.
  • Develop JavaScript projects with GitHub Copilot.
  • Develop Python applications with GitHub Copilot.
Who should attend
  • Developers using GitHub Copilot in software development.
  • DevOps Engineers working with GitHub and AI-assisted development.
  • Administrators responsible for GitHub Copilot usage.
  • Solution Architects working with GitHub Copilot-enabled development workflows.
  • Technology professionals looking to improve software development productivity with GitHub Copilot.
Prerequisites
  • Basic understanding of GitHub fundamentals.
  • Familiarity with at least one programming language is recommended for the certification.
  • Experience using GitHub and software development workflows.

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FAQs

What is the GH-300 GitHub Copilot certification?

GH-300 is the Microsoft certification exam for GitHub Copilot. It validates the ability to use GitHub Copilot to improve software development productivity, quality, and security while applying responsible AI, prompt engineering, privacy, and safeguard practices.

What topics are covered in the GH-300 exam?

The current exam covers responsible use of GitHub Copilot, Copilot features, data and architecture, prompt engineering and context crafting, developer productivity, and privacy, content exclusions, and safeguards.

What programming knowledge is required for GitHub Copilot certification?

Candidates should have experience with one or more programming languages and be familiar with GitHub fundamentals. The training also includes dedicated practical modules using JavaScript and Python.

Does GH-300 training include hands-on exercises?

Yes. The official Microsoft learning content includes practical exercises covering Copilot in Visual Studio Code, prompt engineering, Spaces, Agent Mode, Cloud Agent, MCP, unit testing, code reviews, JavaScript, and Python.

What is the difference between GitHub Copilot and the GH-300 certification?

GitHub Copilot is the AI-powered development tool, while GH-300 is the Microsoft certification exam that validates a candidate's knowledge and practical understanding of using GitHub Copilot effectively, responsibly, and securely.

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