PMI Certified Professional in Managing AI (PMI-CPMAI™)
$399 – $1,699Price range: $399 through $1,699
$399
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LevelIntermediate
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Duration40 hours
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Last UpdatedJune 3, 2026
Hi, Welcome back!
Who Should Enroll
- This course is ideal for:
- Project Managers
- Program Managers
- Product Managers
- Business Analysts
- PMO Professionals
- Digital Transformation Leaders
- AI Project Managers
- IT Managers
- Technology Consultants
- Data Professionals
- Operations Managers
- Business Leaders and Executives
- Agile Practitioners
- Professionals planning to transition into AI project management
- Anyone interested in managing AI initiatives and earning PMI-CPMAI™ certification
Requirements
- Prerequisites
- There are no mandatory prerequisites for attending this course. However, having basic knowledge of project management concepts will be beneficial.
- Recommended For Better Learning
- Basic understanding of project management principles
- Familiarity with business processes and technology concepts
- Interest in Artificial Intelligence and Digital Transformation
- Access to a computer with internet connectivity
- Willingness to participate in discussions, exercises, and mock exams
- Important Instructions
- Attend all training sessions to maximize learning outcomes.
- Complete practice exercises and case study activities.
- Review mock exam questions and exam preparation materials thoroughly.
- Engage actively in discussions and hands-on activities.
- Follow the instructor's guidance for certification exam preparation.
Material Includes
- Students will receive:
- Comprehensive PMI-CPMAI™ Training Material
- Module-wise Presentation Slides
- AI Project Management Templates
- AI Governance and Risk Management Framework Resources
- Prompt Engineering Practice Exercises
- Case Studies and Industry Use Cases
- Practice Questions and Mock Exams
- Session Recordings (if applicable)
- Exam Preparation Guide
- Course Completion Certificate
Description
Artificial Intelligence is transforming how organizations operate, innovate, and deliver value. The PMI Certified Professional in Managing AI (PMI-CPMAI™) certification equips project managers, business leaders, and technology professionals with the knowledge and practical skills required to successfully manage AI initiatives from strategy to deployment.
This comprehensive course provides a structured understanding of AI technologies, project management methodologies, data governance, responsible AI practices, AI risk management, and Generative AI applications. Participants will learn how to identify AI opportunities, develop AI project strategies, manage AI lifecycles, oversee model development, ensure compliance, and maximize business value from AI investments.
Aligned with PMI’s CPM-AI framework, this program prepares professionals to lead AI-driven projects confidently while maintaining ethical standards, governance requirements, and organizational objectives.
Whether you are a project manager looking to future-proof your career or a business professional seeking to leverage AI for organizational success, this course provides the essential knowledge and exam preparation needed to earn the PMI-CPMAI™ certification.
Frequently Asked Questions:
What is PMI Certified Professional in Managing AI (PMI-CPMAI™)?
PMI-CPMAI™ is a professional certification designed to help project managers and business professionals understand, manage, and lead AI-driven initiatives. It covers AI strategy, governance, risk management, data management, Generative AI, and AI project lifecycle management.
Who should enroll in the PMI-CPMAI™ certification course?
This course is ideal for project managers, program managers, product managers, business analysts, IT professionals, digital transformation leaders, consultants, and anyone interested in managing AI projects effectively.
Are there any prerequisites for PMI-CPMAI™ training?
There are no mandatory prerequisites. However, a basic understanding of project management concepts and business processes can help participants gain maximum value from the course.
What topics are covered in the PMI-CPMAI™ course?
The course covers AI fundamentals, machine learning, Generative AI, AI project management, data governance, prompt engineering, MLOps, responsible AI, AI governance frameworks, risk management, compliance, and exam preparation.
How long is the PMI-CPMAI™ training program?
The training program consists of 40 hours of instructor-led learning, including practical exercises, case studies, AI project examples, and certification exam preparation.
How can PMI-CPMAI™ certification benefit my career?
The certification demonstrates your ability to manage AI initiatives successfully, making you a valuable asset for organizations adopting AI technologies. It can enhance career opportunities in project management, digital transformation, and AI leadership roles.
Does the course include Generative AI tools such as ChatGPT and Gemini?
Yes. The course includes hands-on learning related to Generative AI tools, including ChatGPT, Claude, Gemini, prompt engineering frameworks, AI agents, and productivity use cases for project managers.
Will I receive study materials and mock exams?
Yes. Participants receive comprehensive study materials, AI project management resources, practice questions, mock exams, case studies, and exam preparation guidance.
What skills will I gain from this certification?
You will learn AI project planning, AI strategy development, stakeholder management, data governance, model evaluation, AI risk management, prompt engineering, AI deployment, compliance management, and responsible AI practices.
Is PMI-CPMAI™ certification valuable for the future of project management?
Absolutely. As AI adoption continues to grow across industries, professionals who can successfully manage AI projects and align AI initiatives with business objectives are expected to be in high demand.
Course Agenda
Module 1: Foundations of AI & AI Project Management
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AI, Machine Learning, Deep Learning and Generative AI
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AI Project Lifecycle
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AI Use Cases Across Industries
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Responsible and Trustworthy AI
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AI Risks and Challenges
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Introduction to CPM-AI Framework
Module 2: Business Understanding & AI Strategy
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Business Problem Identification
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AI Opportunity Assessment
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ROI and Value Realization
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Stakeholder Analysis
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AI Project Charter Development
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AI Governance Foundations
Module 3: Data Understanding & Requirements
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Data Lifecycle Management
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Data Governance
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Data Quality Assessment
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Privacy and Compliance
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Data Acquisition Strategies
Module 4: Data Preparation & AI Readiness
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Data Cleaning
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Data Labeling
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Feature Engineering
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Bias Detection
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Data Validation
Module 5: AI Development & Model Management
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Machine Learning Fundamentals
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Model Selection
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Prompt Engineering
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Agile for AI Projects
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Generative AI Development
Module 6: Testing, Evaluation & Responsible AI
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AI Testing Frameworks
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Model Evaluation Metrics
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Explainable AI (XAI)
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Bias and Fairness Testing
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AI Security and Compliance
Module 7: AI Deployment & Operationalization
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MLOps Fundamentals
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AI Deployment Models
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Monitoring and Model Drift
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Change Management
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Continuous Improvement
Module 8: Generative AI for Project Managers
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ChatGPT, Claude and Gemini
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Prompt Engineering Frameworks
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AI Agents and Agentic AI
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Enterprise GenAI Adoption
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Project Management Productivity Use Cases
Module 9: AI Governance, Compliance & Risk Management
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NIST AI RMF
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AI Governance Frameworks
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ISO AI Standards
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Risk Management
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AI Auditing and Compliance
Module 10: CPM-AI Exam Preparation
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Exam Structure Overview
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Knowledge Area Review
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Scenario-Based Questions
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Mock Exams
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Exam Success Strategies