| Use GitHub Copilot features | The biggest domain. Copilot in the IDE: enabling it, inline suggestions, chat, CLI and Agent Mode, content exclusions per file or repository. Copilot CLI in depth. Agent Mode, Copilot Edits and MCP; managing Agent Sessions and delegating to Sub-Agents. Code review with Spaces, Spark, PR summaries and instructions files. Organization-wide policy management, audit log events and managing subscriptions with the REST API. | 25 to 30% |
| Use GitHub Copilot responsibly | Responsible AI principles, risks and limitations of generative AI, ethical usage, potential harms and mitigations, and why you validate AI output before shipping it. | 15 to 20% |
| Understand GitHub Copilot data and architecture | How data flows: input processing, prompt building, proxy filtering and post-processing. The code suggestion lifecycle and the limitations of LLMs and Copilot itself. | 10 to 15% |
| Apply prompt engineering and context crafting | Prompt structure and context, how Copilot determines context, zero-shot versus few-shot prompting, and prompt-crafting best practices. | 10 to 15% |
| Improve developer productivity with GitHub Copilot | Where Copilot actually saves time in the development lifecycle and how to reason about measuring that productivity impact. | 10 to 15% |
| Configure privacy, content exclusions, and safeguards | Privacy settings across plans, configuring content exclusions and understanding their limits, applying safeguards and troubleshooting them. | 10 to 15% |