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

Course 3604

  • Duration: 3 days
  • Language: English
  • Level: Intermediate

Lead AI initiatives end-to-end using the PMI Certified Professional in Managing AI (PMI-CPMAI)™ methodology. In this hands-on, instructor-led workshop, you’ll learn how to scope AI opportunities, define success measures, work through data-centric delivery, and plan for deployment, monitoring, and governance across iterative cycles.

This course’s content is aligned to the official PMI-CPMAI curriculum, and includes the PMI on-demand course and exam bundle, plus a 1-year membership to PMI.

PMI CPMAI Certification Training Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

PMI CPMAI Certification Training Information

Benefits

  • This is a Learning Tree authored, instructor-led course that follows the official PMI-CPMAI curriculum and incorporates PMI’s on-demand bundle (including the exam voucher) as part of the overall learning package.
  • Learn PMI’s CPMAI v7 framework to manage AI initiatives from problem framing through operationalisation.
  • Apply the six CPMAI phases: Business Understanding, Data Understanding, Data Preparation, Model Development, Model Evaluation, and Model Operationalisation.
  • Build confidence in data sourcing, quality, labeling, governance, and pipelines that make AI solutions reliable and repeatable.
  • Learn how to evaluate models, plan deployment, monitor performance, and manage drift so AI solutions deliver measurable business value.
  • Incorporate ethics, privacy, security, transparency, and organisational controls into your AI delivery approach.

What to Expect

  • Exam Prep Course: This course is designed to help you prepare for a certification exam. You can expect coverage of all exam learning objectives, with a focus on understanding key concepts, terminology, and how they’re assessed. For a deeper, more hands-on learning experience, consider Risk Management Training for Projects, Programs, and Operations.
  • Content Volume: Certification courses cover a large amount of material in a short time. Instructors prioritise content tied to exam objectives and supplementary topics may be addressed as time allows.
  • Content Pace: Certification courses are fast-paced so that all exam objectives are covered. Instructors adhere to a stricter schedule so that everything is covered. While discussions and examples are included, the focus remains on certification readiness.
  • Outside of Class Study Time: Plan for self-study outside of class, especially if the content is new to you. Passing the exam is not guaranteed.

Audience & Prerequisites

  • Who Should Attend: This course is intended for project managers, product managers, PMO leaders, business analysts, consultants, and technology professionals who support or lead AI initiatives and want a practical, end-to-end framework for delivering AI solutions.
  • Prerequisites: There are no formal prerequisites required to attend this course or to sit for the PMI-CPMAI (CPMAI v7) exam. The course begins with AI fundamentals and progresses through the CPMAI methodology from Business Understanding to Model Operationalisation.
  • Recommended Background: Familiarity with project delivery concepts (scope, stakeholders, outcomes) and basic data/analytics vocabulary is helpful. No coding is required; technical depth is introduced at a management level with practical examples and exercises.

Certification & Exam Information

  • Certification Alignment: This Learning Tree instructor-led course is aligned to the PMI Certified Professional in Managing AI (PMI-CPMAI)™ / CPMAI v7 exam domains: AI Fundamentals, CPMAI Methodology, Machine Learning, Data for AI, Managing AI, and Trustworthy AI.
  • Certification Expectations: This course includes the official PMI-CPMAI On-Demand course, plus as exam voucher and 1 year of PMI membership. Passing the exam is not guaranteed.
  • Exam Details: The CPMAI v7 exam exam includes 100 questions total (including 10 unscored pre-test questions) with 2 hours (120 minutes) to complete the exam and no scheduled break. You may attempt the exam up to three times within the 90-day eligibility period (per PMI policy). Currently, CPMAI v7 does not require PDUs or renewal to maintain the credential once earned.

PMI CPMAI Certification Training Outline

Required Pre‑Course Preparation

  • Ensure you have access to your PMI and My Learning Tree portals before the start of class. Reach out to Learning Tree customer service if you are having trouble.

Module 1: The Need for AI Project Management

  • Why AI now?
  • 7 patterns of AI
  • Why AI projects fail
  • Fears and concerns of trustworthy AI
  • The layers of trustworthy AI
  • Iterative and agile approaches for AI
  • Cognitive project management in AI

Module 2: Matching AI With Business Needs: CPMAI Phase I – Business Understanding

  • Determine the problem you are solving and if AI is a good fit
  • Evaluate AI feasibility
  • Map business problems to AI patterns
  • Determine AI go/no-go
  • Determine AI project ROI and success metrics
  • Scope and schedule AI projects
  • Determine needs for the AI project team
  • Determine project-specific AI risks
  • Learn how all this maps to CPMAI Phase I

Module 3: The Role of Data in AI

  • Determine data quality and quantity requirements for AI
  • Determine data sets for AI projects
  • Understand data privacy, compliance, and access requirements
  • Coordinate data infrastructure and access needs
  • Analytics and key data roles
  • Learn how all this maps to CPMAI Phase II

Module 4: Managing Data Preparation Needs for AI Projects: CPMAI Phase III – Data Preparation

  • Data preparation for AI projects
  • Data pipeline in AI projects
  • Data quality checks and verification
  • Data transformation and synthetic data
  • Data augmentation and labeling for AI
  • Data management for generative AI systems
  • Trustworthy AI in data preparation
  • How it all maps to CPMAI Phase III

Module 5: Iterating Development and Delivery of AI Projects: CPMAI Phase IV – Model Development

  • Machine learning and models
  • Model development
  • Model validation
  • Building generative AI systems
  • Mapping AI development to CPMAI Phase IV

Module 6: Testing and Evaluating AI Systems​: CPMAI Phase V – Model Evaluation

  • Model evaluation
  • Model iteration
  • Model performance, and data and model drift
  • Evaluating models against business and technology KPIs
  • AI system monitoring and management
  • Explainable and interpretable AI systems
  • Mapping to CPMAI Phase V

Module 7: Operationalising AI: CPMAI Phase VI – Model Operationalisation

  • Moving AI models into operation
  • AI platforms and infrastructure
  • Ways to interact with AI models
  • Operationalising generative AI
  • Model lifecycle management
  • AI and model governance
  • Trustworthy AI considerations in operation
  • Limits of AI
  • Moving to the next iteration after CPMAI Phase VI

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PMI CPMAI Certification Training FAQs

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