PMI Certified Professional in Managing AI (PMI-CPMAI)™| PMI

• I highly recommend CPMAI Training & Certification - it's been transformative to my career. The quality is a 12 out of 10, and worth every dollar! George Fountain Senior Project Manager, Booz Allen Hamilton I highly recommend CPMAI Training & Certification - it's been transformative to my career. The quality is a 12 out of 10, and worth every dollar! George Fountain Senior Project Manager, Booz Allen Hamilton

• Exactly what I was looking for. It provides a comprehensive overview of how to manage and run AI projects, and how to scope AI projects for success. It incorporates critical aspects around data science, RPA, and automation. A must-get certification for any AI consultant or solution provider. Christina Kucek Sr. Product Manager, Data & AI GSK Exactly what I was looking for. It provides a comprehensive overview of how to manage and run AI projects, and how to scope AI projects for success. It incorporates critical aspects around data science, RPA, and automation. A must-get certification for any AI consultant or solution provider. Christina Kucek Sr. Product Manager, Data & AI GSK

Your Steps to PMI-CPMAI Certification

This step covers the 21-hour CPMAI-aligned training path. The following subsections summarize how the course is structured, how PDU credits apply to your other PMI credentials, and what each module addresses.

The program is built around the six CPMAI methodology phases. It uses scenario-based exercises, case studies, and a downloadable workbook. The self-paced format combines multimedia lessons with independent study so you can apply concepts in realistic contexts.

You can earn 21 PDUs toward maintaining your other PMI certifications while completing the course: • 7 PDUs — Business Acumen • 11 PDUs — Ways of Working • 3 PDUs — Power Skills If you already hold PMP®, these 21 PDUs cover more than one-third of the PDUs required for a renewal cycle. They can also fully satisfy the education PDU requirement for CAPM®.

Module 1 — The Need for AI Project Management Discover why AI projects struggle, how iterative delivery supports success, and how CPMAI supports ethical, effective outcomes. Module 2 — Matching AI with Business Needs (Phase I) Align AI solutions with business strategy, assess feasibility, define ROI, and set clear scope. Module 3 — Identifying Data Needs for AI Projects (Phase II) Select the right data, ensure compliance, and build infrastructure for AI data management across the 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 models, address drift, and keep results reliable, explainable, and aligned with goals. Module 7 — Operationalizing AI (Phase VI) Operationalize AI responsibly, manage governance, and plan for continuous improvement.

PMI Practice Guide Discover a step-by-step methodology to align AI with business goals, embed governance and ethics, and drive adoption across the enterprise. Maintaining your certification Earning your PMI-CPMAI certification is a big step—maintaining it should be simple. Ongoing learning keeps your skills sharp and your expertise relevant in a constantly evolving field. To maintain certification, PMI-CPMAI holders must earn 30 professional development units (PDUs) every 3 years. Each PDU represents one hour spent: • Learning • Teaching others • Presenting • Reading • Volunteering • Creating content