Prep Exam: GH-300 GitHub Copilot Certification Video Course

Pass the Independent GitHub Copilot GH-300 certification with exam-style practice tests, study guide

What you'll learn
- Master Responsible AI with GitHub Copilot for safe, compliant production workflows.
- Compare Copilot Individual, Business, Enterprise; set org policies and audit logs.
- Use Copilot Chat, inline prompts, and CLI to accelerate multi-language coding tasks.
- Apply prompt engineering: zero-shot/few-shot, context control, and best practices.
- Explain how GitHub Copilot gathers context, builds prompts, filters, and responds.
- Implement privacy, data handling, and content exclusions for secure Copilot use.
- Generate unit/integration tests and edge cases with Copilot; refine assertions.
- Boost SDLC tasks with Copilot: docs, refactoring, debugging, sample data, modernization.
- Track impact using productivity metrics/APIs to quantify Copilot ROI.
- Configure IDE/editor and org-level settings to improve Copilot suggestions.
- Manage duplication/IP safeguards: enable duplication detector and protections.
- Troubleshoot poor/missing suggestions and context-exclusion gaps across editors.

Requirements
- A free GitHub account (Copilot trial or subscription optional)
- VS Code (or JetBrains/Neovim) installed and up to date
- Basic comfort running an editor and Git commands
- Internet connection for Copilot and extensions
- Any one programming language you’d like to practice (Java, Python, JS, etc.)

Description
This course contains the use of artificial intelligence.

Additional Material

Study Material [Download eBook in 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 theResourcessection of Practice Paper 1, Question 1. It is must you go through this book.

Practice Paper:Include 2 Practice Paper, which cover entire syllabus with 120 practice Questions and Answers with detailed explanation.

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 (GH-300)with a laser-focused, exam-ready program designed for real developers and teams. This course gives you everything you need to master the GH-300 blueprint—Responsible AI, Copilot plans and features, how Copilot works and handles data, prompt crafting/engineering, developer productivity use cases, testing, privacy fundamentals, and context exclusions—so you can walk into the exam confident and walk out certified. You’ll practice with official-style questions, hands-on prompt labs, and step-by-step workflows in VS Code or JetBrains, learning exactly how to use Copilot Chat, inline suggestions, and the CLI to accelerate day-to-day coding while staying compliant with enterprise policies.

Why this course stands out for GH-300:• 100% certification preparation: domain-by-domain coverage mapped to the stated exam weighting.• Practice-first design: exam-style questions with detailed explanations and rationales.• Real workflows: prompt-to-PR scenarios, code review summaries, and test generation in modern stacks.• Enterprise readiness: org policies, audit logs, content exclusions, duplication detection, and privacy settings explained with clear, reproducible steps.• Responsible AI throughout: limitations, bias, secure coding, data handling, and validation strategies woven into every module.

What you’ll master (aligned to GH-300 domains):• Responsible AI (7%): risks, limitations, validation, fairness, privacy, and secure-by-design practices you’ll be tested on.• Plans & features (31%): Copilot Individual vs Business vs Enterprise, billing & data exclusions, Copilot Chat in IDE and on GitHub, multiple suggestion modes, exception handling, CLI, org-wide policy management, and audit log queries.• How Copilot works & handles data (15%): context gathering, prompt construction, proxy filters, model response lifecycle, post-processing, matching code detection, and data flows for code completion vs Chat.• Prompt crafting & engineering (9%): zero-shot vs few-shot, structuring prompts, chat history usage, context boundaries, and durable best practices.• Developer use cases (14%): refactoring, debugging, documentation, sample data, legacy modernization, productivity metrics, and SDLC acceleration with measurable ROI.• Testing with Copilot (9%): generating unit/integration tests, identifying edge cases, strengthening assertions, and editor configuration for higher-quality suggestions.• Privacy & context exclusions (15%): repository/org exclusions, scope/limits, ownership of outputs, duplication detector, contractual protections, security checks, and troubleshooting.

Hands-on, practical learning:• IDE setup quick start for VS Code/JetBrains/Neovim with Copilot Chat and inline assistance.• Prompt labs: translate requirements into precise prompts; compare zero-shot vs few-shot; iterate for higher-quality completions.• Testing drills: generate test suites, cover edge cases, and refine assertions to improve reliability.• Enterprise controls: enable/disable duplication detection, configure content exclusions, and explore audit events to meet compliance.• Troubleshooting guide: resolve “no suggestions,” fix sub-optimal context, and trigger Copilot effectively across editors.

Who this is for:• Software developers, QA/test automation engineers, DevOps/SRE, data engineers, solution architects, tech leads, and engineering managers evaluating Copilot for teams.• GitHub admins/program managers responsible for Business/Enterprise rollout, policy controls, and auditability.• Anyone targeting GH-300 and wanting a clear, structured path from fundamentals to exam-ready proficiency.

What’s included:• Domain-mapped lessons that mirror the GH-300 outline.• Exam-style practice with full explanations and references for every answer.• Downloadable checklists and cheat sheets: prompt engineering, privacy & exclusions, enterprise setup, and troubleshooting.• Realistic scenarios that translate directly to daily work—prompt-to-PR, code review summaries, documentation generation, and metric tracking for Copilot impact.

Outcomes you can prove:• Confidently compare Copilot plans and deploy the right SKU with the right policy controls.• Explain and diagram how Copilot gathers context and produces responses—exactly what GH-300 tests.• Apply prompt engineering to boost suggestion quality, reduce retries, and ship faster with fewer defects.• Generate robust tests, catch edge cases early, and improve code health with Copilot-assisted assertions.• Enforce privacy safeguards, content exclusions, and duplication detection to protect IP and reduce risk.• Use productivity metrics to quantify Copilot ROI and communicate value to stakeholders.

Prerequisites:No mandatory prerequisites. A GitHub account, an IDE (VS Code or JetBrains), and comfort with one programming language (Python, JavaScript/TypeScript, Java, C#, or Go) will help you get the most from the course.

If your goal is to pass GH-300 on the first attempt and adopt GitHub Copilot responsibly and effectively, this exam-ready course gives you the structure, practice, and confidence to succeed. Enroll now and turn AI-assisted development into a measurable advantage—on the exam and on the job.

Who this course is for:
- Software developers seeking GitHub Copilot certification and real-world, AI-assisted coding skills
- Junior–senior engineers who want faster code completion, refactoring, and debugging with Copilot
- QA/test automation engineers using Copilot to generate unit, integration, and edge-case tests
- DevOps/SRE professionals accelerating scripts, YAML, CI/CD pipelines, and incident runbooks
- Data engineers and analysts leveraging Copilot for Python/SQL notebooks and data workflows
- Solution architects and tech leads standardizing Copilot best practices across teams and repos
- Engineering managers evaluating Copilot ROI, productivity metrics, and org-wide policy controls
- GitHub admins/program managers configuring Business/Enterprise, audit logs, and content exclusions
- Developers in VS Code, JetBrains, or Neovim who want hands-on Copilot Chat and CLI workflows
- Polyglot coders (Python, JavaScript/TypeScript, Java, C#, Go) aiming to boost delivery speed
- Teams modernizing legacy codebases with Copilot-assisted refactors, docs, and patterns
- Security-minded practitioners implementing Responsible AI, duplication detection, and privacy settings
- Beginners with basic Git skills who want a guided path to productive Copilot usage and exam readiness
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