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Thank you to Eliz Tchakarian for speaking to PMI Pittsburgh on Friday, March 27, at our Breakfast Club in the South Hills. She shared her experience preparing for—and taking—the PMI Certified Professional in Managing AI (PMI‑CPMAI)™ certification exam, including what to study and how the credential applies to real-world project work.

1. Support trustworthy AI efforts
   Responsible AI basics—ethics, bias, transparency, governance, risk, security, and compliance.
2. Identify business needs and solutions
   Frame the problem, align stakeholders, define value and success metrics, and determine when AI is (or isn’t) the right answer.
3. Identify data needs
   Assess data availability, quality, access, privacy, governance, and what’s required to support the use case.
4. Manage AI model development and evaluation
   Coordinate iterative development, select and evaluate models, validate results, document decisions, and assess deployment readiness.
5. Operationalize the AI solution
   Move from model to production with monitoring, change management, MLOps practices, and continuous improvement.

Eliz noted that the exam is scenario-based (about 120 questions in 160 minutes). For prep, she recommended an Udemy course and mentioned that PMI’s AI tool, Infinity, can help create a study guide.

To maintain the credential, you’ll need 30 Professional Development Units (PDUs) every three years—and PDUs earned for maintaining a Project Management Professional (PMP)® certification can also count toward PMI‑CPMAI.

It was a great morning of networking and sharing how we’re using (and governing) AI across different industries. If you’re exploring PMI‑CPMAI or building AI into your project portfolio, we’d love to connect and compare notes. Slides are available upon request.