Track GitHub Copilot practice status, review GH-300 AI-assisted development exam scope, and request IT Mastery coverage.
GitHub Copilot validates skill in using GitHub Copilot to improve software-development productivity, quality, and security across programming languages while respecting responsible AI, privacy, and organizational safeguards.
This page tracks the GitHub Copilot practice-bank rollout for IT Mastery. Dedicated simulator practice is not live yet, but you can review the snapshot, assessed areas, and related AI/developer routes while coverage is being prioritized.
| Area | What to practise |
|---|---|
| Responsible AI | safe use, limitations, review discipline, attribution awareness, and human oversight |
| Copilot features | chat, completions, explanations, refactoring, tests, pull requests, and plan-specific capabilities |
| Data and architecture | how context is used, privacy boundaries, content exclusions, and organizational safeguards |
| Prompt and context crafting | clear intent, constraints, examples, repository context, and iterative refinement |
| Developer productivity | quality improvement, testing, documentation, debugging, and workflow acceleration |