• views: 123
• date: 31 March 2026
• posted by: voska89

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

Requirements

● Comfortable with at least one programming language (Java, Python, jаvascript, etc.)
● Familiar with Git and GitHub basics (commits, pull requests, repositories)
● Access to VS Code or a JetBrains IDE recommended but not required
● No prior GitHub Copilot experience needed — the course starts from the fundamentals

Description

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 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

Homepage

https://www.udemy.com/course/github-copilot-certification-gh-300-complete-preparation

   
   
   

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