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PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Training
- 3 days
- 0 upcoming dates
- May qualify for CEU/PDU credit
Upcoming dates
No public dates scheduled right now
This class runs as a private cohort on dates that suit your team, at your site or delivered live online. Tell us roughly when and how many people, and we'll come back with dates and a total.
Private delivery is usually faster and works out better per seat once you're past four or five people.
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About this class
PMI Certified Professional in Managing AI (PMI-CPMAI)™ Certification Training is not on the public schedule at the moment, and runs as a private cohort on dates you choose. Seats are $2,295 each over 3 days, courseware included. Tell us your dates and headcount and a quote comes back the same business day. Purchase orders welcome.
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.
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
*More Value, One Complete Package*: The course fee includes a voucher for the PMI-CPMAI certification exam.
What you'll be able to do
- 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
Course outline
Introduction
- Course Overview
- Learning Objectives
Introduction to the PMI-CPMAI Exam
- 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
Matching AI with Business Needs
- 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
Identifying Data Needs for AI Projects
- 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
Managing Data Preparation Needs for AI Projects
- 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
Iterating Development and Delivery of AI Projects
- Machine Learning and Models
- Model Development
- Model Validation
- Building Generative AI Systems
- Learn How All This Maps to PMI-CPMAI™ Phase IV
Testing and Evaluating AI Systems
- 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
Operationalizing AI
- 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 Closeout
- Course Summary
- Next Steps for Taking the Exam
- Wrap-Up
Who this is for
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.
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
Request a quote
Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.