[100% Off] Prepare For Github Copilot Certification Exam (Gh-300)
Master AI Code Generation, Prompt Engineering, and Security. Includes eBook & 6 Full Exams for GH-300 Success.
What you’ll learn
- Master the GitHub Copilot exam blueprint: domains
- weights
- GA vs Preview features
- and scoring expectations.
- Compare Copilot plans (Individual
- Business
- Enterprise) and configure org-wide policies
- audit logs
- and content exclusions.
- Use Copilot effectively in IDE and CLI: inline suggestions
- multi-suggest
- Copilot Chat
- PR summaries
- and Knowledge Bases.
- Apply Responsible AI: recognize risks (bias
- insecure code
- privacy) and implement guardrails
- reviews
- and duplication detection.
- Understand how Copilot works: context gathering
- prompt construction
- proxy filtering
- model responses
- and data handling.
- Write high-quality prompts and follow prompt-engineering best practices (zero-shot vs few-shot
- constraints
- examples
- chat history).
- Accelerate developer workflows: debugging
- refactoring
- documentation
- sample data generation
- legacy modernization
- and translation.
- Generate and improve tests with Copilot: unit/integration tests
- edge-case discovery
- assertions
- and editor/org configuration.
- Enforce privacy and compliance: configure context/content exclusions
- manage telemetry options
- and clarify output ownership.
- Troubleshoot Copilot issues fast: missing suggestions
- weak context
- policy conflicts
- and performance tuning for better results.
Requirements
- No prerequisites — beginner-friendly: You can start this GitHub Copilot Certification prep course without prior Copilot experience.
- A free GitHub account (or organizational account) is helpful for hands-on practice with GitHub and GitHub Copilot features.
- Any modern IDE or editor: VS Code or a JetBrains IDE recommended for trying Copilot inline suggestions and Copilot Chat.
- Basic programming familiarity is useful (any language: Python
- Java
- JavaScript/TypeScript
- C#
- etc.) to follow examples smoothly.
- Git installed locally and access to a sample repository (public or private) to practice prompts
- code completions
- and pull requests.
- Stable internet connection to use GitHub services
- install extensions
- and access course practice tests and resources.
Description
Additional Material
-
Study Material [PDF}: Please download the PDF book (230 pages, study guide) as a companion resource for your certification exam preparation. The download link is provided in the Resources section of Practice Paper 1, Question 1. It is must you go through this book.
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5 Free Video: Access link is given under resources section of the Practice Paper-1 under Question-1.
Note: GitHub® and GitHub Copilot are registered trademarks of GitHub, Inc. This course material is not affiliated with or endorsed by GitHub, Inc.
Pass the GitHub Copilot Certification with exam-weighted practice tests purpose-built to mirror the official blueprint—no lectures, just focused, data-driven exam prep. If you want realistic mock exams, detailed answer explanations, and domain-level analytics that show exactly where to improve (Plans & Features, Data Handling, Prompting, Testing, Privacy/Exclusions, Responsible AI), this course is for you. Every question is crafted to reflect real GitHub Copilot usage in VS Code/JetBrains, Copilot Chat, CLI, and Enterprise scenarios—so you train the way you’ll be tested.
This is a practice-test-only course designed to help you learn by doing. Each exam simulation uses the official domain weights:
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Domain 1: Responsible AI (7%)
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Domain 2: GitHub Copilot plans & features (31%)
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Domain 3: How Copilot works & handles data (15%)
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Domain 4: Prompt crafting & prompt engineering (9%)
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Domain 5: Developer use cases for AI (14%)
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Domain 6: Testing with GitHub Copilot (9%)
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Domain 7: Privacy fundamentals & context exclusions (15%)
You’ll get timed exam mode to build pace, review mode to study at your own speed, and in-depth rationales that explain not only why the correct answer is right—but also why each distractor is wrong. Questions span high-value areas: Individual vs Business vs Enterprise, org policy management, audit logs, content/context exclusions, duplication detection, Knowledge Bases and PR summaries, Copilot Chat techniques, inline suggestions, multi-suggest, exception help, and typical troubleshooting (weak suggestions, context drift, policy conflicts, editor settings).
Why these practice tests work
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Exam fidelity: Questions grouped and weighted by domain to replicate the real test experience.
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Targeted learning: Scorecards highlight weak objectives so you know exactly what to revisit.
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Real-world focus: Scenarios reflect how teams actually use Copilot—governance, privacy, productivity.
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Clarity first: Plain-English explanations, actionable tips, and keyworded objectives for quick review.
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Always practical: Emphasis on decisions you’ll make in an IDE, repo, or organization settings.
How to use this course effectively
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Start with a diagnostic (timed). Don’t overthink—just finish and read the full report.
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Switch to review mode on your lowest-scoring domains (often Domains 2, 3, and 7).
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Re-take the tests until you consistently score 80%+. Track improvement by domain.
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Before the real exam, do one final full timed run for pacing and confidence.
Who should take these practice tests
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Developers, test/QA engineers, DevOps/SRE, data/ML engineers, tech leads, managers, and GitHub admins preparing for the GitHub Copilot Certification.
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Teams adopting GitHub Copilot Enterprise who need governance-aware readiness.
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Beginners welcome—no formal prerequisites. A GitHub account and modern IDE help.
What you’ll walk away with
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Exam-day confidence from realistic, domain-weighted simulations.
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A crisp understanding of Copilot plans & features, privacy/exclusions, prompting, testing, and data handling.
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A repeatable strategy: diagnose, focus, retest, and book the exam when your data says you’re ready.
If you want the fastest path to a pass—without sitting through long videos—these GitHub Copilot Certification practice tests deliver the drill, the feedback, and the confidence to cross the finish line.








