Understand the certification
GitHub Copilot 认证(考试代码 GH-300)验证你使用 GitHub Copilot 进行 AI 辅助编程的能力。60 题,120 分钟,及格线 70%,考试费 $99 USD,通过 PSI 在线监考。
考试覆盖:Copilot 的计划和功能(Individual/Business/Enterprise 的区别)、Prompt Engineering(怎么写注释让 Copilot 生成更准确的代码)、负责任 AI(Copilot 生成的代码可能有许可证问题、安全漏洞)、测试和代码质量、数据隐私(Enterprise 的代码不会用于模型训练)。
这是 GitHub 认证体系中唯一一张以 AI 工具为主题的认证。随着 AI 编程工具在企业中的普及,Engineering Manager 需要评估团队是否有效使用 Copilot — 这张证是一个标准化的能力证明。
Exam at a glance
- Exam code
- GitHub Copilot
- Provider
- 其他
- Format
- single-choice / multiple-choice
- Language
- English
- Validity
- 3 years
Skills in focus
Learning outcomes
- Pass the GitHub Copilot certification exam with confidence
- Master key concepts across all exam domains
- Identify and strengthen weak areas before the exam
Who this is for
- Software developers using AI coding tools to accelerate development workflows
- Engineering managers evaluating GitHub Copilot for team adoption and productivity
- DevOps engineers integrating AI-powered tools into CI/CD and development pipelines
Before you start
- Basic programming experience in Python or JavaScript/TypeScript
- Familiarity with VS Code or JetBrains IDE development environments
- Understanding of fundamental AI/ML concepts and how LLMs generate code
Your learning path
7 chapters
Plan your preparation
- Learning hours
- 10h
- With relevant experience
- 1-2 weeks
- Starting from scratch
- 3-4 weeks
- Daily study
- 1h
Included in your preparation
- 50+ practice questions with detailed explanations
- Mock exams simulating real test conditions
- AI-powered tutoring for personalized study
- Progress tracking and weak area identification
1. 第一阶段:Copilot 功能和计划(3-5 天)
Individual($10/月)vs Business($19/月/用户)vs Enterprise($39/月/用户)的功能区别。Business 增加了组织级策略管理和 IP 许可证过滤;Enterprise 增加了 Fine-tuning 和 Knowledge Bases。代码补全、Chat、CLI、PR Summary 四大功能的使用场景。
2. 第二阶段:Prompt Engineering + 负责任 AI(1 周)
怎么写注释让 Copilot 生成更好的代码(具体 > 模糊、分步 > 一次性、提供示例 > 无上下文)。负责任 AI 部分:Copilot 可能生成有安全漏洞的代码(SQL 注入、硬编码密钥)、可能输出与开源项目相似的代码片段(许可证风险)。
3. 第三阶段:数据隐私 + 模考(3-5 天)
Enterprise 的代码片段不用于模型训练、IP 许可证过滤(阻止与公开代码过于相似的建议)、Content Exclusion(排除特定文件或仓库的代码上下文)。做 GitHub 官方的 Practice Assessment。
Career value
AI 编程认证的新赛道
GitHub 2025 年数据显示超过 180 万开发者和 77000 家企业使用 Copilot。"会用 AI 编程工具"正在从加分项变成基本要求。Copilot 认证证明你不只是"装了插件",而是理解 prompt 工程、代码审查策略和企业级部署配置。
适合考的人:日常使用 Copilot 的开发者(想量化这项技能)、评估 Copilot ROI 的 Engineering Manager、负责 Copilot 企业部署的 DevOps 工程师。
不适合考的人:不写代码的人。考试虽然不需要现场编程,但题目假设你理解代码补全、代码解释、测试生成的实际工作流。
- 澳洲
- AUD 100,000 – 150,000
- 美国
- USD 120,000 – 180,000
- 新加坡
- SGD 80,000 – 130,000
Preparation tips
- **GitHub Docs 的 Copilot 章节是最好的备考材料**:docs.github.com/copilot 覆盖所有考点。
- **"最安全"的选项通常是对的**:涉及数据隐私的题,选限制最严格的选项(Enterprise > Business > Individual)。
- **Copilot for CLI 会考**:知道 gh copilot explain(解释命令)和 gh copilot suggest(建议命令)的用途。
Common mistakes
- **Individual 和 Business 的隐私区别** — Individual 的代码片段可能用于改进模型(除非 opt out),Business 和 Enterprise 默认不用于训练。
- **Copilot Chat vs 代码补全** — Chat 是对话式交互(解释代码、生成测试、重构),代码补全是行内实时建议。两者使用不同的 prompt 策略。
- **IP 许可证过滤不是 100% 防护** — 它只能检测与已知公开代码的精确匹配,不能检测语义相似但文本不同的代码。
Before you register
What does the GitHub Copilot certification exam cover? How is it different from other GitHub certs?
GitHub Copilot certification is the newest in the GitHub certification program, focused on AI-assisted programming. It covers 5 domains: (1) Core Copilot features (code completion, Chat, CLI); (2) Prompt Engineering (writing effective prompts for better code suggestions); (3) Responsible AI (copyright, security, and bias in AI-generated code); (4) Copilot configuration and management (org-level policies, personal settings); (5) Developer workflow integration. Unlike other GitHub certs, this is the only one testing AI tool proficiency.
How important is Prompt Engineering on the exam? How should I prepare?
Prompt Engineering is a core exam topic. Key concepts include: (1) Context Window — how Copilot gathers context from the current file, open tabs, and neighboring files; (2) Prompting techniques — using clear function names, parameter types, and comments to guide Copilot; (3) Zero-shot vs few-shot prompting — providing example code to help Copilot understand expected patterns; (4) Copilot Chat slash commands (/explain, /fix, /tests). We recommend using Copilot hands-on in VS Code for at least 2-4 weeks before the exam.
What does the Responsible AI section cover? Is it difficult?
Responsible AI is an important exam component — conceptually significant though not the largest section by question count. Topics include: (1) AI-generated code may contain security vulnerabilities (SQL injection, hardcoded keys) — developers must review; (2) Code licensing and IP — Copilot suggestions may resemble open source code, understand the code referencing filter; (3) AI bias and data privacy — Copilot Business/Enterprise does not store your code for training; (4) GitHub's AI usage policies and transparency principles. This section relies on conceptual understanding rather than technical depth.
What configuration and management topics are covered on the exam?
Configuration topics include: (1) Three Copilot tiers — Individual, Business, and Enterprise (Enterprise supports custom models and knowledge bases); (2) Organization policy settings — admins can control feature toggles, code referencing detection, and member access; (3) Content Exclusion — specifying sensitive files/paths Copilot should not read in .github/copilot config; (4) How the Copilot Chat @workspace agent indexes repository content. Hands-on exploration of GitHub organization settings is recommended preparation.
Do I need coding skills to pass the GitHub Copilot certification? Which languages are covered?
The exam does not require you to write code, but you need to read and understand code snippets (primarily Python and JavaScript/TypeScript). Questions present Copilot-generated code and test your ability to evaluate its correctness, security, or efficiency. Copilot itself supports nearly all major languages but performs best with Python, JavaScript, TypeScript, Go, and Ruby. The exam focuses on effective Copilot usage, understanding its capabilities, and recognizing its limitations — not programming ability.
Is the GitHub Copilot certification worth it? How is it recognized in the job market?
The GitHub Copilot certification is one of very few AI-assisted programming certifications available, and its value is rising as enterprises rapidly adopt AI coding tools. More companies are evaluating and deploying Copilot Business/Enterprise and need professionals who understand AI programming best practices. Certification holders demonstrate not just AI tool usage but also responsible AI, security compliance, and enterprise management knowledge. For developers, it is a differentiating credential showcasing forward-thinking AI skills. Valid for 3 years, exam fee $99.
Learner experiences
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天天用 Copilot 的话一周足够。考试不考你写代码,而是考你理解 Copilot 的工作原理和限制。比如"Copilot Chat 可以访问当前打开文件的上下文吗?"答案是可以(通过 @workspace 扩展到整个项目)。
全栈开发 4 年
通过 · 1 weeks
我考这个是为了给团队制定 Copilot 使用策略。考试关于 Business/Enterprise 计划差异的题挺多 — 特别是哪些安全功能只有 Enterprise 才有(Knowledge Bases、Fine-tuning)。
DevOps Manager
通过 · 2 weeks
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