Describe the risks, limitations, and ethical principles of responsible AI in the context of GitHub Copilot
Use and configure all major GitHub Copilot features across the IDE, CLI, and browser
Explain how Copilot processes data, constructs prompts, and filters outputs
Apply prompt engineering and context crafting techniques to get better results from Copilot
Improve developer productivity using Copilot for code generation, testing, refactoring, and security
Configure privacy settings, content exclusions, and safeguards at individual and organization level
Requirements
Basic programming or software development experience
Some hands-on experience with GitHub Copilot, even if just exploratory
Familiarity with GitHub basics such as repositories, pull requests, and Actions
Description
This course contains the use of artificial intelligence. AI tools have been used to assist in writing course content and producing video lectures.The GitHub Copilot GH-300 certification proves that your Copilot expertise is real, structured, and exam-validated. Practical experience helps. But passing the exam requires structured preparation that covers exactly what the exam tests — and nothing that does not.The GH-300 exam was significantly updated in 2026. The current exam covers GitHub Copilot as it exists today — including Agent Mode, MCP, Plan Mode, Copilot CLI, and the latest privacy and safeguard controls. Older preparation materials do not cover these topics. This course is built around the updated 2026 exam domains and study guide.This course gives you a complete, exam-focused preparation path built around the official GH-300 study guide. Every section maps directly to one of the six exam domains. Every concept is explained clearly, demonstrated in practice, and reinforced with exam-style questions. You will not waste time on material that does not appear on the exam.What you get:- Structured coverage of all six GH-300 exam domains — responsible AI, Copilot features, data and architecture, prompt engineering, developer productivity, and privacy- Companion study materials with summary tables, checklists, and deeper explanations for each module- Chapter Quiz at the end of every section with exam-style questions, scenario-based prompts, and realistic distractors- A full-course Practice Test at the end of the course that simulates the real GH-300 exam across all six domains- Step-by-step exam registration guidance so you know exactly what to do when you are ready to bookThe course is built by a developer who took the GH-300 exam, studied the official material, and identified exactly what matters — and what you can skip. This course gets you there.This course contains the use of artificial intelligence. AI tools have been used to assist in writing course content and producing video lectures.
This course is for experienced developers, consultants, and architects who already use GitHub Copilot and want to validate their skills with the official GH-300 certification. It is also useful for team leads and technology managers evaluating Copilot adoption in their organization.


https://rapidgator.net/file/850e2fd1fc4fbe53fe395d232227d2d6/Github_Copilot_Gh300_Certification_Prep_2026.part2.rar.html
https://rapidgator.net/file/7ac5dc3a4ae50faaa1a94797b57e01ef/Github_Copilot_Gh300_Certification_Prep_2026.part1.rar.html