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GitHub Copilot Certification Guide

GH-300 Exam — 2026

The GitHub Copilot Certification (GH-300) is a $99 proctored exam from GitHub and Microsoft, delivered through Pearson VUE. It tests practical Copilot usage across six domains — responsible AI, prompt engineering, plan-level features, privacy safeguards, code completion mechanics, and GitHub fundamentals. At $99 with established Pearson VUE infrastructure, it is one of the most accessible proctored AI credentials currently available to developers.

30-second executive takeaway

  • Developer-tool credential, not an AI architect exam. The GH-300 tests how well you use Copilot inside an IDE — prompt engineering in real code, understanding plan-level admin controls, and knowing where GitHub's data handling boundaries are. It does not test model architecture or agentic system design.
  • Pearson VUE proctoring gives it credibility. Unlike some AI badges that self-proctor or use unverified third parties, Pearson VUE is the same vendor behind Microsoft's Azure certification stack. Hiring managers recognize the format.
  • Natural complement to the Anthropic CCA-F. Teams building products with Claude and shipping code with Copilot will eventually want both. The CCA-F covers what you build; the GH-300 covers what you use while building it.

GH-300 at a glance

The exam is offered by GitHub under the Microsoft certification umbrella and follows standard Pearson VUE logistics. It is available in five languages and can be taken remotely or at a test center.

Official Name GitHub Copilot Certification (GH-300)
Cost $99 USD
Format ~60 scored + 10–15 pretest questions
Duration 100 minutes
Question Types MCQ and scenario-based
Proctoring Pearson VUE (online or test center)
Languages EN, ES, PT-BR, KO, JA
Retake Policy 24-hour wait after first fail
Provider GitHub / Microsoft

What the GH-300 actually tests

GitHub has not published a percentage breakdown of domain weights for the GH-300, unlike some other vendor exams. What is known from official study materials is the six topic areas below. The exam mixes MCQ with scenario-based questions — expect to read short code or workflow scenarios and select the correct Copilot behavior, configuration, or response.

Responsible AI with GitHub Copilot

Ethical use of AI-generated code, bias awareness, and applying responsible AI principles when integrating Copilot into development workflows.

Prompt Engineering for Copilot

Structuring inline comments, docstrings, and context to get reliable suggestions. Understanding how Copilot interprets surrounding code and how to shape that context deliberately.

Copilot Features Across Plans

Feature differences between Individual, Business, and Enterprise plans — including admin controls, policy management, and enterprise-grade audit capabilities.

Privacy and Data Safeguards

How Copilot handles code snippets, what data is retained, how to configure content exclusions, and the trust boundaries between your codebase and GitHub's infrastructure.

Code Completion and Suggestions

How Copilot generates completions, when to accept or reject suggestions, using Copilot Chat effectively, and leveraging Copilot in the IDE versus CLI contexts.

GitHub Fundamentals

Repository basics, pull request workflows, and GitHub Actions integration — the platform context that Copilot operates within.

How to prepare for the GH-300

The free GitHub and Microsoft Learn resources cover most of the exam material directly. Unlike the Anthropic CCA-F, which requires production agentic experience beyond what the training covers, the GH-300 is grounded in what developers encounter using Copilot daily.

01

Complete GitHub's free Copilot training on Microsoft Learn

Microsoft Learn hosts the official GitHub Copilot learning paths — they are free, structured around the exam domains, and updated when Copilot features change. These are the primary prep resource and the logical starting point before any other material.

02

Practice Copilot prompt patterns in real projects

The prompt engineering domain rewards hands-on experience more than reading. Work through a real codebase using inline comments, docstrings, and Copilot Chat to shape suggestions. Notice where context helps and where it misleads — those are the scenarios the exam tests.

03

Understand plan-level feature differences

A notable portion of the exam covers what is available on Individual, Business, and Enterprise plans — including admin policy controls, content exclusion configuration, and audit log access. If you have only used Copilot on an Individual plan, read the official GitHub documentation on Business and Enterprise feature sets before the exam.

04

Study responsible AI guardrails and data handling

Understand how Copilot handles code snippets during suggestion generation, what the content exclusion configuration does, and how GitHub describes its data retention policies. The responsible AI and privacy domains require factual knowledge about GitHub's stated policies, not general AI ethics theory.

05

Take practice assessments on Microsoft Learn

Microsoft Learn includes module-level knowledge checks tied to the GitHub Copilot content. Work through these after each module rather than at the end — they surface gaps in plan-level feature knowledge and responsible AI specifics that are easy to overlook during general use.

Where GH-300 fits in the developer credential stack

GitHub Copilot has the largest installed base of any AI coding assistant — over 1.8 million paid subscribers as of early 2026, with enterprise adoption accelerating through Microsoft's existing enterprise agreements. That scale means the GH-300 credential has a large potential pool of relevant test-takers, even if it is not yet a common hiring filter.

  • Enterprise Copilot rollouts are generating demand for developers who understand admin controls and data handling — exactly what the Business and Enterprise plan domain tests.
  • At $99 with Pearson VUE proctoring, the GH-300 is more defensible on a resume than self-paced badges from platforms without third-party proctoring.
  • Pairing with CCA-F makes sense for teams building AI products: GH-300 covers the developer tool used daily; CCA-F covers the model platform used to ship product features.

The GH-300 is not a management credential. It is a developer exam — the target audience is engineers who use Copilot regularly and want to demonstrate structured knowledge of its capabilities, limits, and responsible use.

Frequently Asked Questions

What is the GitHub Copilot Certification (GH-300)?
The GH-300 is GitHub's proctored exam for developers who use Copilot professionally. It covers responsible AI use, prompt engineering for code completion, plan-level feature differences, and data privacy. The exam runs approximately 100 minutes, includes around 60 scored questions plus 10–15 unscored pretest items, and is proctored by Pearson VUE either online or at a physical test center.
How much does the GH-300 exam cost?
The GH-300 costs $99 USD per attempt. That makes it one of the cheaper proctored AI credentials on the market — the same price as Anthropic's CCA-F, and a fraction of the IAPP AIGP at $649–$799. Retake fees are the same as the initial attempt. There are no reported bulk discounts or partner-network free allocations as of mid-2026.
Is the GH-300 proctored?
Yes. The exam is proctored through Pearson VUE, which offers both online remote proctoring (from your own machine, with webcam and room scan) and in-person testing at Pearson VUE test centers worldwide. Pearson VUE is the same proctoring vendor used by Microsoft for AZ-series and AI-series exams, which means the logistics are well-established and broadly accessible.
What does the GH-300 actually test?
The exam tests practical Copilot usage across six domains: responsible AI principles, prompt engineering techniques, plan-level feature differences (Individual vs Business vs Enterprise), privacy and data handling, code completion mechanics, and GitHub platform fundamentals. Unlike certifications that test broad AI theory, the GH-300 focuses on what developers encounter day-to-day when using Copilot inside an IDE or CLI. GitHub has not published a percentage breakdown of domain weights.
Does the GH-300 appear in job postings?
Not commonly yet — the GH-300 is relatively new and Copilot certifications are not yet a standard hiring filter. However, teams mandating Copilot adoption at the enterprise level are beginning to use it as a baseline for developer onboarding. At organizations running GitHub Enterprise, the Business and Enterprise plan knowledge tested by GH-300 is directly relevant to admin and developer roles working with Copilot at scale.
How does the GH-300 compare to the Anthropic CCA-F?
Both exams cost $99, but they target different work. The CCA-F tests production agentic architecture and Claude Code configuration — it assumes you're building systems on top of an AI model. The GH-300 tests daily Copilot usage inside an IDE — it assumes you're using an AI model as a developer tool. Teams shipping products with Claude benefit from the CCA-F. Teams adopting Copilot across a development org benefit from the GH-300. Many engineering teams will eventually need both.
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Thomas Prommer
Thomas Prommer Technology Executive — CTO/CIO/CTAIO

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