Architecture, Prompt Engineering, Privacy, and 170 Quiz Questions for Exam-Ready Confidence
This course maps every skill area on the official exam blueprint to focused, scenario-based lectures. No hype, no filler — just honest, practical preparation built by an architect who uses Copilot in production every day.
What you’ll learn
- Explain how GitHub Copilot processes prompts from your IDE through the LLM pipeline and back.
- Distinguish between Personal, Business, and Enterprise plan features and their governance controls.
- Write effective prompts using zero-shot, few-shot, and instructional patterns to maximize Copilot output.
- Configure privacy controls including content exclusions, context exclusions, and organization policies.
- Generate tests, documentation, and DevOps configurations using Copilot Chat and slash commands.
- Apply responsible AI principles and understand compliance, audit logs, and IP indemnity requirements.
- Use advanced features including Agent Mode, Plan Mode, MCP, and the Copilot REST API.
- Pass the GitHub Copilot GH-300 certification exam with confidence.
- Leverage AI-assisted development to write code faster while maintaining quality and security best practices.
Course Content
- Foundations and Context –> 3 lectures • 12min.
- Responsible AI –> 3 lectures • 16min.
- Plans, Features, and IDE Setup –> 5 lectures • 24min.
- Data Flow and Architecture –> 3 lectures • 14min.
- Prompt Engineering and Workflows –> 7 lectures • 33min.
- Testing with Copilot –> 3 lectures • 14min.
- Privacy, Compliance, and Administration –> 4 lectures • 17min.
- Advanced Topics –> 5 lectures • 23min.
- Exam Strategy –> 1 lecture • 5min.
Requirements
This course maps every skill area on the official exam blueprint to focused, scenario-based lectures. No hype, no filler — just honest, practical preparation built by an architect who uses Copilot in production every day.
What you will learn:
- How GitHub Copilot works under the hood — LLMs, the request pipeline, content filtering, and telemetry
- Code completions, Chat, slash commands, agents, and context variables across VS Code, JetBrains, and other IDEs
- Prompt engineering patterns — zero-shot, few-shot, and instructional techniques that produce better suggestions
- Code generation, refactoring, documentation, and DevOps use cases (CI/CD, Infrastructure as Code)
- Test generation strategies — unit, integration, and end-to-end testing with Copilot
- Privacy fundamentals — content exclusions, context exclusions, organization policies, audit logs, and IP indemnity
- Responsible AI principles — ethical considerations and Microsoft’s framework (15–20% of the exam)
- Advanced features — Plan Mode, Agent Mode, Coding Agent, MCP, Copilot Spaces, and the REST API
Why this course is different:
Every lecture mirrors the scenario-based format of the actual exam. You get 34 focused lectures across 9 sections, 170 quiz questions for continuous self-assessment, and exam-day strategy covering time management and common traps.
Who this course is for:
Senior developers, tech leads, and architects preparing for the GitHub Copilot certification. You should have basic familiarity with an IDE and version control. No prior AI or machine learning experience is required.