An 8 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
Unlock the power of collaborative coding with our comprehensive curriculum on Mastering GitHub Copilot for Paired Programming. This cutting-edge program seamlessly integrates AI-driven coding assistance through GitHub Copilot, empowering students to accelerate their coding skills in tandem with a partner. Over the course of 10 engaging hours, participants will navigate through essential setup procedures, leveraging Visual Studio Code and GitHub Copilot Chat for real-time collaboration. Dive deep into GitHub Copilot's autocompletion, customizable features, and advanced programming techniques, all while embracing AI-driven algorithms. From error handling to unit testing, this curriculum is tailored to instill best practices and enhance code quality. Immerse yourself in a transformative learning experience that fuses the latest AI technology with paired programming strategies, equipping you with the tools needed for success in today's dynamic software development landscape.
To get started, be sure to follow instructions on how to fork lessons to your own GitHub account to be able to change any code and complete the challenges. You can also star (🌟) this repo to find it easier later.
Below are the links to each lesson. Feel free to explore and start at any lesson that interests you the most!
After completing this course, check out our GitHub Copilot Learn Collection to continue leveling up your AI Paired Programming knowledge!
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Here are ways you can contribute to this course:
- Find spelling errors or code errors, Raise an issue or Create a pull request
- Send us your ideas, maybe your ideas for new lessons or exercises, and let us know how we can improve.
- a written lesson located in the README
- a challenge or assignment to apply your learning
- links to extra resources to continue your learning
| Lesson Link | Concepts Taught | Learning Goal | |
|---|---|---|---|
| 01 | Introduction to GitHub | Get started using GitHub in less than an hour. | Introduction to repositories, branches, commits, and pull requests. |
| 02 | Introduction to GitHub Codespaces | Develop code using GitHub Codespaces and Visual Studio Code! | How to create a codespace, push code from a codespace, select a custom image, and customize a codespace. |
| 03 | Introduction to GitHub Copilot | GitHub Copilot can help you code by offering autocomplete-style suggestions right in VS Code and Codespaces. | Creating files that will have code generated by Copilot AI for code and comment suggestions. |
| 04 | Using GitHub Copilot with JavaScript | Use GitHub Copilot, an AI pair programmer that offers autocomplete-style suggestions as you code, to work with JavaScript. | Enable the GitHub Copilot extension in Visual Studio Code. Craft prompts that can generate useful suggestions from GitHub Copilot. Use GitHub Copilot to improve a JavaScript project. |
| 05 | Using GitHub Copilot with Python | Use GitHub Copilot, an AI pair programmer that offers autocomplete-style suggestions as you code, to work with Python. | Enable the GitHub Copilot extension in Visual Studio Code. Craft prompts that can generate useful suggestions from GitHub Copilot. Use GitHub Copilot to improve a Python project. |
| 06 | Using GitHub Copilot with C# | Use GitHub Copilot, an AI pair programmer that offers autocomplete-style suggestions as you code, to work with C#. | Enable the GitHub Copilot extension in Visual Studio Code. Craft prompts that can generate useful suggestions from GitHub Copilot. Use GitHub Copilot to improve a C# Minimal API project. |
| 07 | Creating a Mini Game with GitHub Copilot | Use GitHub Copilot to assist you in building a Python based mini game. | Craft prompts that can generate useful suggestions from GitHub Copilot to incorporate gaming logic and improve your Python based game. |
| 08 | Using Advanced GitHub Copilot Features | Use advanced GitHub Copilot features like inline chat, slash commands, and agents. | Interact with GitHub Copilot with deeper context on your project and ask questions about it. |
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