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PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Training
5 Based on 213 reviews- 431,089 Learners
- 287 Courses
AI is changing how organizations develop products, improve operations, serve customers, and make decisions. But implementing AI successfully takes more than technical capability. Organizations need professionals who can evaluate opportunities, set clear business objectives, coordinate diverse teams, manage data and development challenges, address governance and ethical considerations, and turn AI investments into measurable results.
Request More InfoUpcoming Class Schedule
$1,995.00
Nov 02 - Nov 04, 2026
8:30 AM - 5:00 PM America/Chicago- VILT
PMI-CPMAI certification training gives you a structured framework for doing exactly that. Prepare for the exam, build practical AI project management skills, and position yourself to lead one of the fastest-growing categories of projects in today's workplace.
This course will earn you 21 PDUs
- Learn how to lead AI projects without coding
- Gain familiarity with the tool-agnostic CPMAI methodology
- Master the art of guiding AI development and evaluation
- Understand responsible AI usage and governance
- Begin translating technical complexity into business value
Virtual Instructor-Led Training
3 days / 24 hours
Who should attend PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Training Course
PMI-CPMAI certification training is designed for professionals who manage, contribute to, advise on, or want to lead artificial intelligence initiatives. No prior AI development experience is required to pursue the PMI-CPMAI certification.
PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Training Course Outline
- Course Overview
- Learning Objectives
- The Need for AI Project Management
- Why AI Now?
- The Seven Patterns of AI
- Why AI Projects Fail
- Fears & Concerns of Trustworthy AI
- Layers of Trustworthy AI
- Iterative and Adaptive Approaches for AI
- Cognitive Project Management for AI
- 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 PMI-CPMAI™ Phase I
- 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 PMI-CPMAI™ Phase II
- Data Preparation for AI Projects
- Data Pipeline in AI Projects
- Data Quality Check and Verification
- Data Transformation and Synthetic Data
- Data Augmentation and Labeling for AI
- Data Management for Generative AI Systems
- Trustworthy AI in Data Preparation
- Learn How All This Maps to PMI-CPMAI™ Phase III
- Machine Learning and Models
- Model Development
- Model Validation
- Building Generative AI Systems
- Learn How All This Maps to PMI-CPMAI™ Phase IV
- Model Evaluation
- Model Iteration
- Model Performance, Data and Model Drift
- Evaluating Models Against Business and Technology KPIs
- AI System Monitoring and Management
- Explainable and Interpretable AI System
- Learn How All This Maps to PMI-CPMAI™ Phase V
- Moving AI Models into Operations
- AI Platforms and Infrastructure
- Ways to Interact with AI Models
- Operationalizing Generative AI
- Model Life Cycle Management
- AI and Model Governance
- Trustworthy AI Considerations in Operations
- Limits of AI
- Moving to the Next Iteration After PMI-CPMAI™ Phase VI
- Course Summary
- Next Steps for Taking the Exam
- Wrap-Up
