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DataCamp

GitHub Copilot Fundamentals (GH-300)

via DataCamp

Overview

Advance your software development career by mastering GitHub Copilot, the AI coding assistant built into your IDE. In this track, you will build the skills needed for GitHub's Copilot certification (GH-300). You'll start by learning how AI-assisted coding works—crafting precise prompts, choosing the right tools, and building responsible workflows—before diving deep into GitHub Copilot itself: autocomplete, inline edits, chat modes, Agent Mode, MCP integrations, and custom instructions. You'll then advance to senior-level techniques including production code analysis, performance optimization, AI-assisted testing, and security vulnerability detection. To ensure you're fully prepared for the exam, the track is supplemented with tutorials covering the full Copilot plan landscape—from Pro to Business to Enterprise—alongside governance controls, data privacy safeguards, content exclusions, and the Copilot CLI. The courses in this track include hands-on exercises where you will practice prompt engineering, refine AI-generated code, and apply Copilot to real-world development scenarios. A grounding in AI ethics is also included, ensuring you can use Copilot responsibly and in line with the exam's requirements on responsible AI use. After completing the track, you will be well-prepared to sit the GH-300 exam and demonstrate that you can leverage GitHub Copilot effectively, ethically, and at scale across the software development lifecycle.

Syllabus

  • AI-Assisted Coding for Developers
    • Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.
  • Software Development with GitHub Copilot
    • Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.
  • GitHub Copilot Plans: A Complete Guide to Features and Administration Across Tiers
  • Advanced AI-Assisted Coding for Developers
    • Learn to use AI as a senior engineering partner for code analysis, performance optimization, security, and software architecture decisions.
  • GitHub Copilot CLI Tutorial: Features, Installation, and Use Cases
  • AI Ethics
    • Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
  • GitHub Copilot Privacy: A Guide to Safeguards & Troubleshooting
  • GitHub Copilot Enterprise: A Guide to Spaces and the Usage Metrics API

Taught by

Joe Franklin, Francesca Donadoni, and Thalia Barrera

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