PMI Certified Professional in Managing AI (PMI-CPMAI)
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.
Retail Price: $3,245.00
Next Date: 06/10/2026
Course Days: 3
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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.
Benefits
- This instructor-led course 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 operationalization.
- Apply the six CPMAI phases: Business Understanding, Data Understanding, Data Preparation, Model Development, Model Evaluation, and Model Operationalization.
- 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 organizational 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 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.
PMI CPMAI Certification Training Outline
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: Operationalizing AI: CPMAI Phase VI – Model Operationalization
- Moving AI models into operation
- AI platforms and infrastructure
- Ways to interact with AI models
- Operationalizing 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
| Course Dates | Course Times (EST) | Delivery Mode | GTR | |
|---|---|---|---|---|
| 6/10/2026 - 6/12/2026 | 9:00 AM - 4:30 PM | Virtual | Enroll | |
| 7/22/2026 - 6/24/2026 | 9:00 AM - 4:30 PM | Virtual | Enroll | |
| 9/9/2026 - 9/11/2026 | 9:00 AM - 4:30 PM | Virtual | Enroll | |
| 10/21/2026 - 10/23/2026 | 9:00 AM - 4:30 PM | Virtual | Enroll | |
| 12/9/2026 - 12/11/2026 | 9:00 AM - 4:30 PM | Virtual | Enroll |