Overview
Whether you’re already delivering AI initiatives or eager to start, this PMI Certified Professional in Managing AI certification gives you the structure and credibility to turn innovation into measurable, lasting value.
With PMI-CPMAI you’ll learn how to:
- Turn bold AI visions into clear, achievable project plans
- Navigate fast-changing technologies without needing tool-specific training
- Unite cross-functional teams around a shared process
- Deliver outcomes that are ethical, measurable, and built to withstand business scrutiny
No matter your role (Project Manager, technologist, data expert, or consultant) PMI-CPMAI helps you grow your skills and your career in a market that rewards professionals and AI-savvy leaders.
Why Choose KORNERSTONE
- Accredited, practitioner-led, expert certificate trainers to provide high quality training
- Official training material included
- Practical, scenario-based learning – focus on application, not just theory
- Excellent Passing Rate
Skills Covered
With PMI-CPMAI you’ll learn how to:
- Turn bold AI visions into clear, achievable project plans
- Navigate fast-changing technologies without needing tool-specific training
- Unite cross-functional teams around a shared process
- Deliver outcomes that are ethical, measurable, and built to withstand business scrutiny
Prerequisites
There are no prerequisites required to attend this course.
Target Audience
- Project Manager
- Technologist
- Data expert
- Consultant
Course Curriculum
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.
Dates & Locations
December 16, 2026 - December 18, 2026
Exam & Certification
PMI Certified Professional in Managing AI (PMI-CPMAI) exam.
The PMI-CPMAI exam will reflect the structure of this table while incorporating approaches for successful AI implementation. The concept of customizing approaches to contribute to the value of the CPMAI will be found throughout the five domain areas listed below and are not isolated to any domain.
The exact number of questions for each domain may vary by form.
- Support Responsible and Trustworthy AI Efforts – 15%
- Identify Business Needs and Solutions – 26%
- Identify Data Needs – 26%
- Manage AI Model Development and Evaluation – 16%
- Operationalize AI Solution – 17%
About the Exam
- Exam length: 120 Questions
- Exam time: 160 minutes
- Languages: English
Maintaining your PMI-CPMAI 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
Trainer for this course
Mr. A Leung
BSc (Hon), MSc, EMBA, PMP, FLMI, ACS, CSM, ACSM, CSP
- 25+ years of IT and regional management experience, including 18+ years leading large-scale projects and programs.
- Delivered projects for Fortune Global 100 companies, including IBM, Manulife, and Sun Life.
- Held senior leadership roles in program delivery, client implementation, and business development.
