English | Size: 870 MB
Genre: eLearning
Architecture, Prompt Engineering, Privacy, and 170 Quiz Questions for Exam-Ready Confidence
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
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.
Who this course is for:
- Senior developers preparing for the GitHub Copilot GH-300 certification exam
- Tech leads and engineering managers evaluating Copilot adoption for their teams
- Application architects who need to understand Copilot’s data flow, privacy, and compliance controls
- DevOps engineers using Copilot for CI/CD pipelines, Terraform, Docker, and shell scripting
- Junior developers looking to accelerate their skills and become more productive with AI-assisted coding
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