PS academy:/courses/gh-300> Get-DomainWeights
Use GitHub Copilot responsibly
15–20%Use GitHub Copilot features
25–30%Data and architecture
10–15%Prompt engineering and context
10–15%Developer productivity
10–15%Privacy and safeguards
10–15%PS academy:/courses/gh-300> Get-LearningModules -Cert GH-300
01 · Responsible Copilot Use
- Generative AI limits, harms, and mitigation
- Human review, validation, testing, and accountability
- Responsible use across the software lifecycle
02 · Copilot Features and Environments
- IDE inline suggestions, Chat, Edits, and agent mode
- Copilot CLI, GitHub.com, Spaces, and code review
- Plans, policies, audit events, and customization
03 · Data Flow and Architecture
- Context collection, prompt processing, filtering, and post-processing
- Suggestion lifecycle and LLM limitations
- Data handling, sharing, and trust boundaries
04 · Prompt Engineering
- Task, context, constraints, examples, and acceptance criteria
- Zero-shot and few-shot prompting
- Context crafting, chat history, and reusable prompt files
05 · Productivity, Testing, and Security
- Code generation, refactoring, documentation, and modernization
- Unit and integration tests, edge cases, and assertions
- Security review, performance, and quality measurement
06 · Applied Developer Scenarios
- Responsible rollout for regulated engineering teams
- Organization-wide policy, instructions, and adoption
- Real-world productivity and quality measurement
Ready to test GH-300?
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