GH-300T00-A: GitHub Copilot

Štruktúra kurzu

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Module 1: Responsible AI with GitHub Copilot

• 1.1.1 Introduction
• 1.1.2 Mitigate AI risks
• 1.1.3 Microsoft and GitHub’s six principles of responsible AI
• 1.1.4 Summary

Module 2: Introduction to GitHub Copilot

• 1.2.1 Introduction
• 1.2.2 GitHub Copilot, your AI pair programmer
• 1.2.3 Interact with Copilot
• 1.2.4 Set up, configure, and troubleshoot GitHub Copilot
• 1.2.5 Summary

Module 3: Introduction to prompt engineering with GitHub Copilot

• 1.3.1 Introduction
• 1.3.2 Prompt engineering foundations and best practices
• 1.3.3 GitHub Copilot user prompt process flow
• 1.3.4 GitHub Copilot data
• 1.3.5 GitHub Copilot Large Language Models (LLMs)
• 1.3.6 Summary

Module 4: Introduction to Copilot Spaces

• 1.4.1 Introduction
• 1.4.2 Creating your first space
• 1.4.3 Part 1 Sharing, Discoverability, and Governance
• 1.4.3 Part 2 Sharing, Discoverability, and Governance
• 1.4.4 Do’s and Don’ts of Working in a Space
• 1.4.5 Summary

Module 5: Using advanced GitHub Copilot features

• 1.5.1 Introduction
• 1.5.2 Advanced GitHub Copilot features
• 1.5.3 Exercise – Set up GitHub Copilot to work with Visual Studio Code
• 1.5.4 Applied GitHub Copilot techniques
• 1.5.5 Summary

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

• 1.6.1 Introduction
• 1.6.2 Code completion with GitHub Copilot
• 1.6.3 GitHub Copilot Chat
• 1.6.4 Part 1 GitHub Copilot on GitHub.com
• 1.6.4 Part 2 GitHub Copilot on GitHub.com
• 1.6.5 GitHub Copilot for the Command Line
• 1.6.6 Summary

Module 7: Management and customization considerations with GitHub Copilot

• 1.7.1 Introduction
• 1.7.2 Explore GitHub Copilot plans and their associated management and customization features
• 1.7.3 Explore contractual protections in GitHub Copilot and disabling matching public code
• 1.7.4 Manage content exclusions
• 1.7.5 Troubleshoot common problems with GitHub Copilot
• 1.7.6 Summary

Module 8: Developer use cases for AI with GitHub Copilot

• 1.8.1 Introduction
• 1.8.2 Part 1 Boost developer productivity with AI
• 1.8.2 Part 2 Boost developer productivity with AI
• 1.8.3 Part 1 Align with developer preferences
• 1.8.3 Part 2 Align with developer preferences
• 1.8.4 Part 1 AI in the Software Development Lifecycle (SDLC)
• 1.8.4 Part 2 AI in the Software Development Lifecycle (SDLC)
• 1.8.5 Part 1 Understand limitations and measure impact
• 1.8.5 Part 2 Understand limitations and measure impact
• 1.8.6 Summary

Module 9: Develop unit tests using GitHub Copilot tools

• 1.9.1 Introduction
• 1.9.2 Part 1 Examine the unit testing tools and environment
• 1.9.2 Part 2 Examine the unit testing tools and environment
• 1.9.2 Part 3 Examine the unit testing tools and environment
• 1.9.3 Create unit tests using the Generate Tests smart action
• 1.9.4 Create unit tests using Inline Chat
• 1.9.5 Part 1 Create unit tests using Chat view modes
• 1.9.5 Part 2 Create unit tests using Chat view modes
• 1.9.6 Summary

Module 10: Building applications with GitHub Copilot agent mode

• 1.10.1 Introduction
• 1.10.2 What is GitHub Copilot Agent Mode?
• 1.10.3 Part 1 Explore the power of autonomous development assistance
• 1.10.3 Part 2 Explore the power of autonomous development assistance
• 1.10.4 Summary

Module 11: Accelerate development with GitHub Copilot Cloud agent

• 1.11.1 Understanding and enabling the GitHub Copilot cloud agent
• 1.11.2 Security, risks, and limitations of the Copilot cloud agent
• 1.11.3 Part 1 Assigning, tracking, and troubleshooting Copilot cloud agent tasks
• 1.11.3 Part 2 Assigning, tracking, and troubleshooting Copilot cloud agent tasks
• 1.11.4 Customizing, extending, and validating the Copilot cloud Agent
• 1.11.5 Part 1 Responsible use of GitHub Copilot cloud agent on GitHub.com
• 1.11.5 Part 2 Responsible use of GitHub Copilot cloud agent on GitHub.com
• 1.11.6 Summary

Module 12: Introduction to MCP Server

• 1.12.1 Introduction
• 1.12.2 Simplify your AI workflow with GitHub MCP Server
• 1.12.3 Configure, connect, and use GitHub MCP Server in VS Code
• 1.12.4 Using GitHub MCP Server with Copilot Chat
• 1.12.5 Summary

Module 13: Leveling up code reviews and pull requests with GitHub Copilot

• 1.13.1 Introduction
• 1.13.2 Part 1 What GitHub Copilot adds to the review process
• 1.13.2 Part 2 What GitHub Copilot adds to the review process
• 1.13.3 Using Copilot as a reviewer in GitHub.com
• 1.13.4 Part 1 Catching issues early and automating reviews with Copilot
• 1.13.4 Part 2 Catching issues early and automating reviews with Copilot
• 1.13.5 Measuring impact and optimizing premium request units (PRUs)
• 1.13.6 Summary

Module 14:Using GitHub Copilot with JavaScript

• 1.14.1 Introduction
• 1.14.2 What is GitHub Copilot
• 1.14.3 Exercise – Set up GitHub Copilot to work with Visual Studio Code
• 1.14.4 Use GitHub Copilot with JavaScript
• 1.14.5 Exercise – Update a JavaScript portfolio with GitHub Copilot
• 1.14.6 Summary

Module 15: Using GitHub Copilot with Python

• 1.15.1 Introduction
• 1.15.2 What is GitHub Copilot?
• 1.15.3 Exercise – Set up GitHub Copilot to work with Visual Studio Code
• 1.15.4 Use GitHub Copilot with Python
• 1.15.5 Exercise – Update a Python web API with GitHub Copilot
• 1.15.6 Summary