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PMI · AI & Machine Learning · Professional

PMI Certified Professional in Managing AI (PMI-CPMAI) exam guide

Exam PMI-CPMAI

PMI Certified Professional in Managing AI (PMI-CPMAI) validates the ability to run AI and data-centric projects using the CPMAI methodology, a data-first, iterative approach. It helps project leaders avoid common AI project failures such as poor data readiness and unclear business value.

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DeliveryOnline

Format: Online exam taken after completing PMI's CPMAI training. Fee note: PMI sells CPMAI as a training-plus-exam package with lower member pricing; confirm on pmi.org.

Who it's for

Project and program managers, product managers and data team leads who manage AI, machine learning or advanced analytics projects.

What the exam covers

Business Understanding—
Data Understanding—
Data Preparation—
Model Development—
Model Evaluation—
Model Operationalization—

A dash means the vendor does not publish a weight for that domain.

Eligibility & prerequisites

Required: Complete PMI's CPMAI training before taking the exam.

Recommended: Experience managing projects; familiarity with data and AI concepts helps.

Keeping it active

Follow PMI's continuing certification requirements (PDUs) for PMI-CPMAI as stated in the current PMI handbook.

Skills & careers

Skills it validates

  • Framing AI business problems and success criteria
  • Assessing data availability and quality
  • Managing iterative AI model development
  • Evaluating model performance against business goals
  • Operationalizing and monitoring AI solutions
  • Applying trustworthy and responsible AI practices

Job roles

AI Project ManagerAI Program ManagerProduct Manager (AI/ML)Data Project LeadTechnical Program Manager

Where it fits in your path

Planning a degree too? See how this cert earns college credit in the College Credit Navigator.

Build my study plan

  1. Week 1: CPMAI course modules on AI fundamentals and why AI projects fail.
  2. Week 2: Phases 1-3: business understanding, data understanding and data preparation.
  3. Week 3: Phases 4-6: model development, evaluation and operationalization.
  4. Week 4: Trustworthy AI topics, review and the exam.

Make it yours: pick your exam date and weekly hours. We'll split your time by domain weight and give you a printable plan.

Exam-day tips

  • Learn the six CPMAI phases in order and the go/no-go checks between them.
  • Questions favor data-first thinking: confirm data readiness before modeling.
  • Know the seven patterns of AI used to classify AI projects.
  • Expect questions on iterating small, rather than big-bang AI delivery.

Key terms for this exam

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Frequently asked questions

What is PMI-CPMAI?

PMI's certification for managing AI projects using the CPMAI methodology, which PMI acquired with Cognilytica.

Do I need to be a data scientist?

No. It is aimed at people who manage AI projects, not those who build models.

Does CPMAI require PMP?

No. PMP experience helps but is not required.

CPMAI vs PMP?

PMP covers general project management; CPMAI adds an AI-specific, data-centric methodology.

How do I prepare for CPMAI?

Complete PMI's CPMAI course, which is required before the exam.

Official page: www.pmi.org. Reviewed November 2026. Vendors change fees and objectives, so confirm with the vendor before you book. Spot something out of date? Tell us.