Free Download GH-300 GitHub Copilot Certification Complete Exam Preparation
Published 10/2025
Created by HadoopExam Learning Resources
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 51 Lectures ( 3h 52m ) | Size: 1.2 GB

Pass the GitHub Copilot GH-300 certification with exam-style practice tests, study guide, and proven strategies.
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 MaterialStudy Material[ 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 the Resources section 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. 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.• able 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
Homepage
https://www.udemy.com/course/gh-300-gith...preparati/

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