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

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.

Exam length 120 Questions Exam time 160 Minutes Languages • English • CPMAI has provided me with a view of how to adapt PMP knowledge for AI and advanced data projects, with specific detail around DataOps and a foundation of AI and ML knowledge. It gives Project Managers more strategic value as organizations add AI to their portfolios. Krystene “KJ” Jennings, PMP, CPMAI, ASQ CSS-GB Manager, IT Service Centene CPMAI has provided me with a view of how to adapt PMP knowledge for AI and advanced data projects, with specific detail around DataOps and a foundation of AI and ML knowledge. It gives Project Managers more strategic value as organizations add AI to their portfolios. Krystene “KJ” Jennings, PMP, CPMAI, ASQ CSS-GB Manager, IT Service Centene

• 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

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. • 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 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 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 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 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 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 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. Module 7 Operationalizing AI (Phase VI) Operationalize AI responsibly, manage governance, and plan for continuous improvement. Additional Resources Explore additional resources to help you get started, build your skills, or prepare for certification, wherever you are in your AI project management journey. PMI members receive exclusive savings on exam prep.

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