- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: GH-600
- Certification Level: Intermediate
- Exam Duration: 120 minutes
- Passing Score: 700 out of 1000
- Unscored Content: The exam may include unscored questions used to evaluate and improve exam quality. These questions are not identified and do not affect your final score.
Exam Details
- Question Types: Multiple choice, scenario-based questions, case-based questions, and interactive exam components
- Number of Questions: Not officially disclosed by Microsoft or GitHub
- Hands-On Questions: The exam may include interactive components to assess your ability to apply agentic AI development concepts in GitHub-driven workflows.
Exam Policies
- Offline Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time to avoid forfeiting the exam fee.
- Online Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time to avoid forfeiting the exam fee.
- Waiting Period: If you fail the first attempt, you can retake the exam after 24 hours. A 14-day waiting period applies to subsequent attempts.
- Retake Fee: Full exam fee must be paid for each retake, if applicable.
Certification Validity and Renewal
- Validity: 1 year
- Renewal Options: Renew by passing a free online renewal assessment through Microsoft Learn before the certification expires.
Exam Fee
- Base Fee: Price is based on the country or region in which the exam is proctored and is confirmed during Pearson VUE scheduling.
- Taxes: Country-specific VAT or GST may apply. Example: In India, 18% tax applies. If the displayed base fee is $99 USD, the total would be $116.82 USD ($99 + $17.82 tax). Final pricing must be verified at checkout.
Prerequisites
There are no formal prerequisites for taking the GH-600 exam. However, it is recommended to have:
- Experience with the software development lifecycle (SDLC)
- Hands-on knowledge of GitHub workflows, repositories, pull requests, and controls
- Experience with GitHub Copilot, agent workflows, custom agents, tools, MCP servers, and Copilot setup steps
- Understanding of code quality, security review practices, guardrails, and responsible AI principles
Exam Topics
- Prepare Agent Architecture and SDLC Processes: Agent architecture, SDLC integration, planning, reasoning, action boundaries, observability, and autonomy controls
- Implement Tool Use and Environment Interaction: Agent tools, permissions, MCP servers, GitHub remote MCP server, repository scope, CI workflow invocation, safe execution, error handling, retries, rollbacks, and traceability
- Manage Memory, State, and Execution: Short-term memory, long-term memory, external memory, state persistence, context drift, task continuity, pruning, reset rules, and shared state
- Perform Evaluation, Error Analysis, and Tuning: Success criteria, evaluation signals, scans, artifacts, logs, traces, reasoning errors, tool misuse, context issues, and agent behavior tuning
- Orchestrate Multi-Agent Coordination: Multi-agent workflows, orchestration patterns, parallel execution, agent isolation, conflict detection, audit artifacts, handoffs, recovery patterns, rollback, and human-in-the-loop processes
- Implement Guardrails and Accountability: Autonomy levels, security risk classification, compliance risk, Responsible AI standards, least-privilege access, approval paths, policy enforcement, and accountable execution
Intended Audience
The GH-600 certification is ideal for professionals working with AI-assisted and agent-driven software development, including roles such as:
- AI Developer
- Software Developer
- DevOps Engineer
- Platform Engineer
- Solution Architect
- AI Engineer
- Technical Lead
- Security Engineer
Career Impact
Jobs You Can Get:
- AI Developer, Agentic AI Developer, DevOps Engineer, Platform Engineer, AI Engineer, Software Developer, Solution Architect, GitHub Copilot Specialist, and Automation Engineer.
Average Salary:
- Varies by country — U.S.: $90,000–$150,000 USD,
- India: ₹8,00,000–₹25,00,000 INR,
- United Kingdom: £45,000–£85,000 GBP,
- UAE: 160,000–300,000 AED per year.
Why It’s Valuable:
- It validates modern AI-agent development skills for GitHub-based SDLC workflows, including agent operations, supervision, evaluation, orchestration, guardrails, and production governance.
Exam Mode
The exam is proctored and can be taken either:
- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE's online proctoring system, where available
Exam Booking Link
- Book your GH-600 Exam via Microsoft Learn / Pearson VUE — Click here
Once you pass the exam
- View your certification from your Microsoft Learn profile
- Processing Time: For beta exams, scores are released approximately eight weeks after the beta period concludes
- Log in to your Microsoft Learn profile
- Navigate to the Credentials or Certifications section
- View, share, or download your certification details, once available
Offers
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Top Reasons to Choose
GitHub Certified: Agentic AI Developer
Build Relevant Agentic AI Development Skills
This certification validates skills in operating, supervising, integrating, and governing AI agents inside production SDLC workflows, helping developers prove readiness for modern GitHub-driven software engineering environments worldwide with confidence today.
Strong Focus on Production-Ready AI Agents
GH-600 covers tool use, MCP servers, memory, evaluation, multi-agent coordination, guardrails, and accountability, making it practical for teams building reliable, safe, and auditable agentic systems in production GitHub workflows securely.
Career Growth in AI-Driven Software Engineering
As AI agents become part of software delivery, this GitHub certification helps developers, DevOps engineers, architects, and AI engineers demonstrate specialized capabilities valued by employers across global technology teams today.
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FAQ
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Who should take the GH-600 Developing in Agentic AI Systems exam?
The GH-600 exam is ideal for developers, DevOps engineers, AI engineers, platform engineers, solution architects, and technical leads who work with GitHub-based software delivery. Candidates should understand SDLC workflows, GitHub controls, Copilot, MCP servers, agent customization, code quality, security reviews, and production-grade AI agent governance.
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How difficult is the GH-600 exam?
The GH-600 exam is considered intermediate and scenario-based. It requires more than basic GitHub or AI knowledge because candidates must understand agent architecture, tool use, memory, evaluation, multi-agent coordination, guardrails, accountability, and safe execution. Practical experience with GitHub Copilot, MCP servers, and SDLC workflows is strongly recommended.
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Why does GitHub offer the Agentic AI Developer certification?
GitHub offers this certification to validate the skills needed to operate, supervise, integrate, and govern AI agents inside modern software development workflows. As teams adopt agentic AI, employers need professionals who can manage autonomy, safety, evaluation, orchestration, accountability, and reliable delivery using GitHub as the control plane.
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What tools and resources can be used to prepare for the GH-600 exam?
Candidates can prepare using the official Microsoft Learn GH-600 study guide, GitHub documentation, Microsoft Learn training modules, the exam sandbox, GitHub Copilot practice, MCP server configuration, repository workflows, pull requests, branch controls, scans, logs, artifacts, and hands-on experience with agentic AI workflows inside GitHub environments.
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Is the GH-600 Developing in Agentic AI Systems certification valuable in 2026?
Yes, the GH-600 certification is valuable in 2026 because AI agents are becoming central to software development. It helps professionals prove skills in agent workflows, governance, evaluation, multi-agent coordination, secure execution, and GitHub-based SDLC operations, making it relevant for AI, DevOps, and software engineering careers.