What you’ll learn
- Sit the GH-300 exam prepared
- after 6 full-length practice tests of 65 questions that follow the exams domain weightings.,Use GitHub Copilot responsibly: describe the risks and limitations of generative AI and explain why AI output must be validated.,Apply Copilot features such as inline suggestions
- Copilot Chat
- Copilot CLI
- agent mode and MCP
- and manage organization-wide policies.,Explain how GitHub Copilot handles data and builds prompts
- and craft effective prompts with zero-shot and few-shot prompting.,Raise productivity with code generation
- refactoring and test generation
- and configure content exclusions and privacy safeguards.,Find and fix your weak areas with the domain tag on every question and the explanation for each correct and incorrect option.
Requirements
- Hands-on experience with GitHub Copilot in software development: these tests check what you know
- they do not teach Copilot from zero.,Familiarity with GitHub fundamentals.,Experience with one or more programming languages
Description
Pass the GitHub Copilot GH-300 Exam with Confidence!
The GitHub Copilot certification (GH-300) shows that you can use GitHub Copilot to improve the productivity, quality and security of software development. It covers responsible AI use, prompt engineering, Copilot features and privacy safeguards.
The exam asks for more than knowing where each feature is. You need to understand how GitHub Copilot works, and to judge how to use it well and responsibly in everyday development work.
This course gives you 6 full-length practice tests with 390 questions in total. Each test shows you where you stand, and each explanation turns a wrong answer into something you will remember on exam day.
What You Will Get
Full-Length Tests: Each of the 6 tests has 65 questions, the exam’s number, and no question appears in two tests.
Exam Domain Mix: Every test follows the exam’s domain weightings, and every question is tagged with its domain.
Explanations for Every Option: Each question has an overall explanation and says why every option is correct or incorrect.
Practical Judgement: You practice deciding when and how to use GitHub Copilot features, not only naming them.
Full Coverage of All 6 Exam Domains
Every test covers the six skill areas of the exam, in the proportions the exam gives them:
Use GitHub Copilot responsibly (15–20%): Describe the risks and limitations of generative AI, and explain why AI output must be validated.
Use GitHub Copilot features (25–30%): Work with inline suggestions, Copilot Chat, Copilot CLI, agent mode, MCP and organization-wide policies.
Understand GitHub Copilot data and architecture (10–15%): Explain data flow, prompt building, proxy filtering and the lifecycle of a code suggestion.
Apply prompt engineering and context crafting (10–15%): Structure prompts, understand how context is determined, and use zero-shot and few-shot prompting.
Improve developer productivity with GitHub Copilot (10–15%): Use Copilot to generate code, documentation and tests, refactor, and modernize legacy code.
Configure privacy, content exclusions, and safeguards (10–15%): Configure content exclusions and editor settings, and enable the filter for suggestions matching public code.
Think Like a Certified GitHub Copilot Developer!
The exam rewards judgement, so the tests train you to ask yourself questions like these:
Why does a suggestion from GitHub Copilot need to be validated before you rely on it?
When does a few-shot prompt give you a better response than a zero-shot prompt?
What do you check when a content exclusion does not seem to apply to a file?
Enroll today and start practicing for the GitHub Copilot GH-300 exam with 6 full-length tests!
