FAQ
AOPC™ questions, answered
What is the AgentOps Professional Certification (AOPC™)?
The AgentOps Professional Certification (AOPC™) is a CertiProf certification for professionals who run AI agents in production. It focuses on the work that begins once an agent is live: monitoring, evaluation, guardrails, incident response, and cost and performance control.
When does AOPC™ launch?
AOPC™ launches on December 1, 2026. Exam access is already on sale on this page, at USD 150.
How much does the AOPC™ exam cost?
Exam access for the AgentOps Professional Certification (AOPC™) costs USD 150, as a one-time payment.
Is the AOPC™ exam proctored?
No. The AOPC™ exam is not supervised: no proctor monitors you while you take it. You take it online, from anywhere, whenever you're ready.
How will I receive my exam access?
Right after purchase, you'll receive an email from the certiprof.com domain with your exam access and instructions. If you don't see it, check your spam folder or contact CertiProf.
What is the exam format?
The AOPC™ exam has 40 multiple-choice questions, each with one correct answer. You have 60 minutes, and you need 80% (32 correct answers) to pass. Your score appears as soon as you submit the exam.
How many attempts do I get?
AOPC™ exam access includes 2 attempts, valid for 6 months from the date of purchase.
Which languages is the exam available in?
The AOPC™ exam is available in English, Spanish and Portuguese. You choose your language before checkout.
What credential will I receive?
When you pass AOPC™, CertiProf issues a digital badge through BadgeClaimed, built on the Open Badges 3.0 standard. The certification is valid for 1 year. Anyone can verify the badge online, and you can add it to your LinkedIn profile, résumé and email signature.
How is AOPC™ different from AI Agent Manager (AIAM™)?
AI Agent Manager (AIAM™) validates how you manage AI agents as a business capability: where to use them, how to govern them and how to measure their value. AgentOps (AOPC™) validates how you keep agents running well once they are live: monitoring, evaluation, guardrails, incident response, and cost and performance. Together, they cover both sides of working with AI agents.