PMI Specialized Certifications® > PMI Certified Professional in Managing AI (PMI-CPMAI)™

PMI Certified Professional in Managing AI (PMI-CPMAI)™ Exam Prep Course & Certification

No experience required

Your license to lead the future of AI. With PMI-CPMAI™, you’ll gain the tools to build with AI effectively, giving you the playbook to secure AI success.

Member price

$490

Path to a PMI-CPMAI certification

To earn PMI-CPMAI certification, you must:

Be at least 18 years old
Complete the PMI-CPMAI Exam Prep Course (included in this bundle) to understand the CPMAI methodology

About the PMI-CPMAI Exam Prep Course

The 21-hour PMI-CPMAI Exam Prep Course provides the knowledge and skills to pass the exam and manage AI projects effectively.

Organized around the six CPMAI methodology phases, it uses scenario-based exercises, case studies and a downloadable workbook to help you apply concepts immediately. The self-paced format includes multimedia content, a guided review of Exam Content Outline (ECO) references, and independent study activities—so you can learn at your own pace while building a strong understanding of the material.

Earn 21 PDUs toward maintenance of your other PMI certifications while completing this course:

7 PDUs

Business Acumen

11 PDUs

Ways of Working

3 PDUs

Power Skills

If you already hold a PMP certification, the 21 PDUs earned will cover more than one-third of the PDUs required for renewal. They can also fully satisfy the Education PDU requirement for CAPM.

What you’ll learn

Module 1

The Need for AI Project Management

Discover why AI projects struggle, how iterative delivery supports success, and how CPMAI ensures ethical, effective outcomes

Module 2

Matching AI with Business Needs (Phase I)

Align AI solutions and strategy to real business needs, assess feasibility, define ROI, and set clear project scope

Module 3

Identifying Data Needs for AI Projects (Phase II)

Select the right data, ensure compliance, and build the infrastructure to support AI, laying the groundwork for effective AI data management across the project lifecycle

Module 4

Managing Data Preparation Needs for AI Projects (Phase III)

Transform raw data into AI-ready inputs through quality checks, augmentation, and compliance controls.

Module 5

Iterating Development and Delivery of AI Projects (Phase IV)

Build and validate models, from machine learning to generative AI

Module 6

Testing & Evaluating AI Systems (Phase V)

Test and monitor AI models, address drift, and ensure results are reliable, explainable, and aligned with goals

Module 7

Operationalizing AI (Phase VI)

Operationalize AI responsibly, manage governance, and plan for continuous improvement.

Check eligibility and prepare – PMI-CPMAI