GH-300: GitHub Copilot Certification Exam Prep

This course contains the use of artificial intelligence.

GH-300, the GitHub Copilot Certification, validates your ability to use AI pair programming productively and responsibly across the IDE, the CLI, GitHub, and pull requests. This exam-focused preparation walks through all seven official domains as published by GitHub, from choosing the right Copilot Individual, Business, or Enterprise plan, to crafting effective Copilot Chat prompts, configuring repository and organization content exclusions, and reviewing AI-generated tests before they ship. Every chapter pairs a tight technical explanation with a hands-on, read-and-understand IDE walkthrough in VS Code, so you see exactly what the exam describes: inline completions, slash commands, /tests, PR summaries, knowledge bases, and org policy controls.

Instructor Aseem Mankotia built this course specifically for developers, tech leads, and DevOps practitioners writing code with Copilot every day. This is deliberately NOT a data-science or ML-theory course, and it is unmistakably distinct from Microsoft 365 Copilot administrator training aimed at business and IT audiences. Expect direct, scenario-driven teaching: plan-selection judgment calls, prompt-crafting drills, content-exclusion configuration, and the licensing and security awareness the exam expects from a responsible AI pair programmer.

The final chapter delivers a full-length, timed exam simulation modeled on the approximately 65-question, 100-minute GH-300 format with a scaled score reported out of 1000, along with a domain-weighted time-management plan for exam day. Course details such as current objectives, question count, duration, scoring model, and fees change over time, so always confirm the current GH-300 outline on GitHub's official certification page before you register.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official GH-300 exam guide.