GitHub Copilot Fundamentals Part 2 of 2
At a glance
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Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects.
In this learning path, you'll:
- Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise.
- Understand how to utilize GitHub Copilot across various environments responsibly and securely.
- Learn advanced functionalities of GitHub Copilot and how to best use them.
Prerequisites
- Basic understanding of GitHub fundamentals
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Modules in this learning path
Learn how to build applications using GitHub Copilot Agent Mode by prompting autonomous development tasks, using documentation for guidance, and understanding how Agent Mode iteratively manages, refactors, and improves your codebase.
This module explains how to use Copilot coding agent to assign tasks, streamline development, and combine automation with your team's expertise for faster, higher-quality outcomes.
This module introduces GitHub MCP Server, a secure and scalable way to integrate GitHub features into your AI tools. You'll learn what MCP is, how to configure GitHub MCP Server in VS Code, use it with Copilot Chat, and troubleshoot common issues.
This module introduces how GitHub Copilot enhances code reviews by accelerating review cycles, catching issues, and enforcing best practices.
To work with JavaScript, take advantage of GitHub Copilot, an AI pair programmer that boosts productivity with autocomplete-style suggestions.
GitHub Copilot is an AI pair programmer that offers autocomplete-style suggestions as you code in Python.