Exam Overview

The GH-600 exam is the current assessment for Developing in Agentic AI Systems (beta) and follows the official objectives published for GH-600.

• Exam Code: GH-600
• Level: Associate
• Duration: 120 minutes. Available languages are listed on the official exam page and can vary by exam and region.
• Passing Score: Microsoft Learn lists 700 or greater for scored GitHub certification exams. Beta results are released after Microsoft completes the scoring analysis.
• Unscored Content: Microsoft may include items used for evaluation or research; the number is not officially disclosed by the certification provider.

Exam Structure

The GH-600 exam measures the domains in the current GitHub Agentic AI Systems syllabus. The exact number of questions is not officially disclosed by the certification provider.

• Question Types: Not officially disclosed by the certification provider. Microsoft’s official exam sandbox demonstrates the current interface and supported interaction patterns.
• Number of Questions: Not officially disclosed by the certification provider.
• Hands-On Components: The public study guide does not promise a fixed number of labs or performance tasks. Review the official exam sandbox and appointment instructions.

Exam Policies

Before completing GitHub Agentic AI Systems exam registration, review the Microsoft Certification Exam Candidate Agreement, security rules, identification requirements, delivery-provider policies, and appointment confirmation.

• Rescheduling Policy: Reschedule through the certification profile or delivery-provider account at least 24 hours before the appointment. Late changes can forfeit the exam payment or voucher.
• Cancellation Policy: Cancel at least 24 hours before the appointment. A missed appointment or late cancellation can result in loss of the exam payment or voucher.
• Retake Policy: After the first failed attempt, wait 24 hours. After a second or later failure, wait 14 days. Microsoft limits candidates to five attempts per exam within a 12-month period.
• Retake Fee: Each retake requires payment of the current GitHub Agentic AI Systems exam fee or an eligible voucher unless the purchase terms explicitly include another attempt.

Certification Validity and Renewal Options

Passing the GH-600 exam earns the Developing in Agentic AI Systems certification.

• Validity: GitHub certifications are valid for two years from the certification date.
• Renewal Options: Renew by retaking the current exam. GitHub states that eligible certificants receive a 50% renewal discount during the renewal window beginning three months before expiration.

Exam Fee

• Microsoft follows country- and region-specific pricing; therefore, exam fees vary by location rather than having a single worldwide price. India: ₹4,865 Europe: €126 Middle East: US$83 USA: US$165
• Taxes: VAT, GST, sales tax, or other local charges may change the final GitHub Agentic AI Systems certification cost. The scheduling checkout displays the applicable amount.
• Example (India): Review the INR amount and applicable GST shown during GitHub Agentic AI Systems exam registration; do not convert a U.S. price because regional pricing and taxes can differ.

Prerequisites

Formal Prerequisites: Microsoft does not require another certification before a candidate can schedule this exam, although an associated certification can have additional requirements.

• Recommended Experience: Candidates should have practical exposure aligned with prepare agent architecture and sdlc processes, implement tool use and environment interaction, and the technologies listed in the official guide.
• Preparation should combine the current GitHub Agentic AI Systems syllabus, Microsoft Learn resources, the exam sandbox, and hands-on practice that reflects the target role.
• Verify the exam code and the skills-measured update date before studying because Microsoft can revise objectives, products, and credential paths.

Exam Topics

The official GitHub Agentic AI Systems syllabus organizes preparation around these measured domains:

• Prepare agent architecture and SDLC processes – 15–20%: Validate the planning, configuration, implementation, governance, and troubleshooting tasks associated with prepare agent architecture and sdlc processes as described in the current official skills-measured outline.
• Implement tool use and environment interaction – 20–25%: Validate the planning, configuration, implementation, governance, and troubleshooting tasks associated with implement tool use and environment interaction as described in the current official skills-measured outline.
• Manage memory, state, and execution – 10–15%: Validate the planning, configuration, implementation, governance, and troubleshooting tasks associated with manage memory, state, and execution as described in the current official skills-measured outline.
• Perform evaluation, error analysis, and tuning – 15–20%: Validate the planning, configuration, implementation, governance, and troubleshooting tasks associated with perform evaluation, error analysis, and tuning as described in the current official skills-measured outline.
• Coordinate multi-agent systems – 15–20%: Validate the planning, configuration, implementation, governance, and troubleshooting tasks associated with coordinate multi-agent systems as described in the current official skills-measured outline.
• Implement guardrails and accountability – 10–15%: Validate the planning, configuration, implementation, governance, and troubleshooting tasks associated with implement guardrails and accountability as described in the current official skills-measured outline.

Intended Audience

The GH-600 exam is intended for professionals and learners whose work or goals align with the current skills measured, including:

• AI Engineers
• Machine Learning Engineers
• Data Scientists
• MLOps Engineers
• Application Developers
• Cloud Engineers
• Professionals Building AI Solutions

Career Opportunities

Knowledge represented by the GH-600 exam supports development toward roles such as:

• AI Engineer
• Machine Learning Engineer
• MLOps Engineer
• AI Application Developer
• Generative AI Engineer
• AI Platform Engineer

Average Salary (Approximate)

GitHub does not publish salary ranges for GitHub Agentic AI Systems holders. These reputable employment-market estimates use closely related roles. Salaries vary by experience, employer, location, job role, and industry.

• United States: Approximately USD 110,000–190,000 per year for AI and machine learning engineers (Glassdoor and Indeed, July 2026).
• India: Approximately INR 800,000–2,500,000 per year for AI and machine learning engineers (Glassdoor and Indeed, July 2026).
• United Kingdom: Approximately GBP 55,000–100,000 per year for AI and machine learning engineers (Glassdoor and Indeed, July 2026).
• UAE: Approximately AED 180,000–360,000 per year for AI and machine learning engineers (Glassdoor and Indeed, July 2026).

Exam Delivery Options

During GitHub Agentic AI Systems exam registration, choose an available Pearson VUE test center or online-proctored appointment when that delivery option is offered for the exam and location.

• Pearson VUE Test Center – Take the exam in person at an authorized center, subject to local availability and admission requirements.
• Online Proctored Exam – Take the exam remotely under live supervision when the official scheduling workflow offers online delivery.
• Online Exam Rules: Run the system test, use a private workspace and supported computer, present accepted identification, remove prohibited materials, and follow the proctor’s instructions.
• Test Center Rules: Arrive as directed, present accepted identification, store prohibited items, complete admission procedures, and follow the candidate agreement and center rules.

Exam Registration

Follow these steps to complete GitHub Agentic AI Systems exam registration:

• Open the official GH-600 exam page on Microsoft Learn and select the scheduling option associated with your region.
• Sign in, select the GH-600 exam, and choose an available test-center or online-proctored delivery option.
• Choose the language, location, date, and time, then verify the legal name, identification requirements, accommodation status, and appointment policies.
• Pay the displayed GitHub Agentic AI Systems exam fee or apply an eligible voucher, confirm the booking, and retain the confirmation email.

After Passing the Exam

After passing the GH-600 exam, retain the score report and review the credential status in Microsoft Learn.

• Passing the GH-600 exam earns the Developing in Agentic AI Systems certification.
• Use the Microsoft Learn Credentials dashboard to review the certification record, expiration or renewal status, transcript, and shareable credential options.
• Keep account recovery information and professional contact details current so that certification, renewal, and program notices remain accessible.

Why the GH-600 exam Is Worth It

• Aligns preparation with the current official GitHub objectives
• Demonstrates role-relevant technology knowledge
• Supports practical, scenario-based professional development
• Creates a verifiable foundation for specialization and career growth