PMI-CPMAI Certification Course Overview

Learn how AI is transforming modern project management.

iCertGlobal’s PMI Certified Professional in Managing AI, or PMI-CPMAI certification training helps aspirants master the six-phase CPMAI methodology. With the help of our intensive PMI-CPMAI certification bootcamp, candidates will learn how to align AI initiatives with business goals, verify if data is managed properly, and ensure AI systems are implemented ethically while carrying out project management tasks. Our PMI-CPMAI training combines the knowledge of Agile and CRISP-DM methodologies. Combine Agile flexibility with CRISP-DM structure to manage AI projects with greater clarity, control, and business focus—from defining the right problem to delivering AI solutions that create measurable value. Learn how to implement governance frameworks to handle AI-related risks like ethical, privacy, and compliance issues. Participate in scenario-based exercises and learn through CRISP-DM labs included in the CPMAI certification training - apply practical project management principles to cope with quickly evolving AI and ML technologies.

PMI-CPMAI Certification Training Highlights

Explore the key features that make this training stand out.

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24 Hours of Interactive Training

Attend interactive PMI-CPMAI certification training sessions with PMI-authorized trainers. Master real-world project management skills, AI project delivery, and governance.

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Standardized Curriculum

Learn through a comprehensive curriculum based on CRISP-DM, Agile methodologies, and official PMI-CPMAI certification standards.

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Permanent Resource Access

Get lifetime access to course recordings, templates, case studies, and learning materials for continuous professional growth.

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Global Recognition

Gain an industry-recognized credential that showcases your ability to lead and manage AI and machine learning projects confidently.

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Constant Support

Receive 24/7 learning support throughout your certification journey. Throughout the PMI-CPMAI certification training, you'll get a chance to resolve doubts and queries whenever needed.

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Recertification Credits

Earn 21 Professional Development Units (PDUs) that can be applied toward renewing PMI certifications such as PMP®, PMI-ACP®, and PgMP®.

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Why Get PMI-CPMAI Certified?

Stay ahead with an industry-recognized AI project management credential.

Develop Future-Ready Skills

Understand how AI is automating project management tasks and transforming business operations across healthcare, IT, construction, finance, and manufacturing industries.

Improve Decision-Making

Apply AI-driven data and insights to identify risks, boost productivity, draft plans, and control costs.

Industry Recognition

Earn a globally recognized PMI-CPMAI certification that demonstrates your expertise in project execution and AI integration. Improve your chances of getting hired.

Hands-on Experience

Build the practical expertise required to apply AI frameworks and tools in real-world projects.

Who Should Enroll in the PMI CPMAI Training Program?

Find out if this certification is the right fit for your career goals.

This certification training is ideal for:

Project Managers & Program Managers
Business Analysts
Product Managers
Agile Practitioners and Scrum Masters
IT Managers and Technology Leaders
Digital Transformation Consultants
Operations and Strategy Professionals
AI Enthusiasts looking to apply AI in business projects

PMI-CPMAI Certification Eligibility & Prerequisites

Check the requirements before you begin your certification journey.

The PMI-CPMAI certification training doesn’t require you to fulfill any strict prerequisites. This PMI-CPMAI certification course is accessible to professionals from diverse professional and educational backgrounds.

Skills You Will Gain in Our PMI-CPMAI Certification Course

Build the practical AI and project management skills employers value.

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AI Project Management
Learn how to apply project management methodologies to plan, manage, and deliver AI and Machine Learning projects successfully.
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Business & Data Alignment
Ensure the AI initiatives are aligned with business goals. The data generated should be relevant and useful for delivering successful outcomes.
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AI Governance & Ethics
Apply ethical AI practices, minimize bias, manage AI risks, and ensure compliance throughout the project's lifecycle.
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CRISP-DM Framework Application
Learn how to plan, execute, and manage AI projects through simple steps.
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AI Risk & Complexity Management
Use AI to identify risks, handle uncertainty, and manage the compliance issues related to AI projects.
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Leadership Skills
Sharpen the skills required to manage AI-driven projects, including problem-solving, leadership, and critical thinking.
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Model Evaluation & Performance Monitoring
Understand how the performance of AI models is monitored after deployment. Learn how these models are tested and improved frequently.

pmi-cpmai Course Modules

Comprehensive curriculum covering all exam domains

MODULE - 1

Module 1: The Need for AI Project Management

LESSON 1

Lesson: AI Fundamentals

Discover why AI projects struggle, how iterative delivery supports success, and how CPMAI ensures ethical, effective outcomes.

  • Why AI and ML projects often fail.
  • Limits of traditional project management for AI.
  • How iterative delivery supports success.
  • Overview of the six-phase CPMAI methodology.
  • The AI project lifecycle at a glance.
  • Ethical and responsible AI principles.
MODULE - 2

Module 2: Matching AI with Business Needs (Phase I)

LESSON 1

Lesson: Business Understanding

Align AI solutions and strategy to real business needs, assess feasibility, define ROI, and set clear project scope.

  • Match AI solutions to business problems.
  • Assess business, data and technical feasibility.
  • Choose the right AI pattern for the use case.
  • Define ROI and success criteria.
  • Set clear project scope and objectives.
  • Engage and align key stakeholders.
MODULE - 3

Module 3: Identifying Data Needs for AI Projects (Phase II)

LESSON 1

Lesson: Data Understanding

Select the right data, ensure compliance, and build the infrastructure to support AI across the project lifecycle.

  • Identify and select the right data sources.
  • Assess data quality, volume and relevance.
  • Apply privacy, security and compliance rules.
  • Set up data governance practices.
  • Build infrastructure for AI data management.
  • Spot data gaps and limitations early.
MODULE - 4

Module 4: Managing Data Preparation Needs for AI Projects (Phase III)

LESSON 1

Lesson: Data Preparation

Transform raw data into AI-ready inputs through quality checks, augmentation, and compliance controls.

  • Clean and transform raw data.
  • Run data quality checks.
  • Label and annotate data.
  • Augment data to fill gaps.
  • Apply compliance and privacy controls.
  • Prepare training, validation and test datasets.
MODULE - 5

Module 5: Iterating Development and Delivery of AI Projects (Phase IV)

LESSON 1

Lesson: Model Development

Build and validate models, from machine learning to generative AI.

  • Select the right model and approach.
  • Build and train ML models.
  • Work with generative AI models.
  • Iterate through experimentation and tuning.
  • Validate models during development.
  • Manage uncertainty and changing requirements.
MODULE - 6

Module 6: Testing & Evaluating AI Systems (Phase V)

LESSON 1

Lesson: Model Evaluation

Test and monitor AI models, address drift, and ensure results are reliable, explainable, and aligned with goals.

  • Test models against business goals.
  • Define KPIs: accuracy, efficiency and impact.
  • Detect and address model drift.
  • Ensure results are explainable and reliable.
  • Check for bias and ethical risks.
  • Decide when a model is ready to deploy.
MODULE - 7

Module 7: Operationalizing AI (Phase VI)

LESSON 1

Lesson: Operationalization & Real-World Applications

Operationalize AI responsibly, manage governance, and plan for continuous improvement.

  • Deploy AI solutions into live environments.
  • Set up governance and accountability.
  • Monitor and maintain models over time.
  • Plan for continuous improvement.
  • Track ROI and value realization.
  • Apply CPMAI to real-world scenarios.

PMI-CPMAI Certification Roadmap

Follow a clear path from training to certification success.

Program Roadmap

Meet the Instructors

Learn from certified experts with 15+ years of experience

Linne Williams

Project Management and Agile Expert

Linne Williams is an MBA-qualified project management professional with experience in project delivery and business operations. She holds PMP, Certified ScrumMaster (CSM), and Certified Scrum Product Owner (CSPO) credentials, with experience in project management and compliance initiatives.

LinkedIn

Rodrigo P. Coelho

Project Management Professional

Rodrigo P. Coelho is an MBA-qualified PMP professional with experience in project management and problem-solving. He focuses on delivering practical solutions and managing projects with a goal-oriented approach.

LinkedIn

Rakesh Pant

PMI Authorized PMP Instructor

Rakesh Pant is a PMI Authorized Training Partner instructor with experience in project management, PMO, and Agile coaching. He holds PMP, Certified ScrumMaster, and SAFe Agilist credentials and has delivered PMP and CAPM training programmes.

LinkedIn

David Matawitz

PMI Authorized PMP Instructor

David Matawitz is an experienced project management professional with a background in defence and engineering programmes. He holds PMP certification and has worked as a PMI Authorized Training Partner instructor, bringing practical project and programme experience to his training.

LinkedIn

Mansoor Mohammed

Project Management, PMO and Agile Expert

Mansoor Mohammed is an experienced project management professional, Enterprise Agile Coach, and PMO leader. He has contributed to PMI standards and publications, served on the PMI Board of Directors, and delivered PMP training for professionals across industries. His expertise includes portfolio management, Agile transformation and value-driven project delivery.

LinkedIn

Rochelle Tan

Project Management and Business Analysis Expert

Rochelle Tan is an MBA-qualified project management and business analysis professional with over 20 years of consulting experience. She holds PMP and CBAP credentials and has worked across project management, business transformation, Agile practices and corporate training.

LinkedIn

Jin Xiao

Project Management Professional

Jin Xiao has over 15 years of project management experience across multiple industries. His background includes project coordination, validation, team development, and managing engineering projects in international environments.

LinkedIn

Eneeyan Nanmaran

Data Analytics Professional

Eneeyan Nanmaran is a Senior Data Analyst with over seven years of experience in analytics. His skills include data analysis, SQL, and Python, with experience in developing analytical solutions and automating processes.

LinkedIn

Phyllisia Taylor

Project Management and GRC Expert

Phyllisia Taylor is a PMP-certified project management professional with over 10 years of experience in enterprise technology, PMO development, IT service management, and organizational transformation. She has worked across industries including healthcare, aviation, and technology, and has experience delivering PMP and Six Sigma training. Her expertise also includes cybersecurity compliance, CMMC readiness, NIST SP 800-171, and process improvement.

LinkedIn

Bruce Wehrle, PMP

PMP Instructor and IT Project Management Expert

Bruce Wehrle is a PMP-certified project management professional with over 40 years of experience in IT infrastructure, engineering, and global technology operations. He has managed complex international projects at Chevron and other organisations and has nearly four years of experience delivering remote PMP certification training. His expertise includes infrastructure planning, project integration, change management, and technical team leadership.

LinkedIn

Ralph Wallace

IT Project Management & Systems Integration Expert

Ralph Wallace is an IT executive and programme management professional with over 45 years of experience in technology, systems integration, and engineering management. He has led large-scale IT infrastructure and IPv6 transition initiatives for US federal agencies, including the Internal Revenue Service, and has held senior leadership roles across government and technology organisations. His expertise includes project and programme management, enterprise architecture, cybersecurity, and IT governance.

LinkedIn

Blanca Aurora Bosque, PhD, PMP

Project Management and Strategic Leadership Expert

Blanca Aurora Bosque is a PMP-certified project management professional with a PhD in Strategic Business Administration and extensive experience in strategic management, organizational transformation, and process improvement. She teaches undergraduate and graduate-level Business Administration and Project Management courses and is a certified PMP instructor. Her expertise includes project delivery, talent management, Lean Six Sigma, and operational excellence across complex industrial environments.

LinkedIn

Patrick Enyinnaya

Enterprise Architecture and IT Service Management Expert

Patrick Enyinnaya is an IT professional with extensive experience in enterprise architecture, cloud solutions, and IT service management. He has worked with Microsoft as a Senior Cloud Solution Architect, specialising in Azure, Microsoft 365, ITSM, and digital transformation. He also brings several years of experience delivering technical instruction and corporate IT training.

LinkedIn

Customer Testimonials

Hear from our successful graduates

"Exceptional PMP Training Experience with iCertGlobal I recently completed the PMP training by iCertGlobal, and I must say it was an outstanding experience. The instructor demonstrated a deep understanding of project management principles and brought real-world experience to the table. The training material's provided were comprehensive and well-organized, offering valuable insights and practical tips. I would highly recommend iCertGlobal to anyone looking for professional PMP Training.. "

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John Anderson

Trustpilot Review,

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"iCertGlobal provided a great learning experience with clear, well organised courses. The trainers were knowledgeable, and the support team was responsive to all my questions. The study material was comprehensive, which helped me pass my certification exam with ease. Highly recommended for anyone looking to get certified. "

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James Walsh

Trustpilot Review,

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"iCertGlobal is the best Certificate Training Organization. you will get good instructor and they will improve leaning sills and give the real time experience examples due to that you will get pass in first try. "

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Andy Moran

Trustpilot Review,

★ ★ ★ ★ ★

"The course content, exam prep questions, interactive Q&A, and real-life examples made attending this PMP Project Management training class worth my time and money. The support from iCertGlobal was exceptional and I would like to thank them for accepting my request of meeting the trainer post the session for clearing my doubts."

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Tim Malone

Trustpilot Review,

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"I had a good learning experience with icertGlobal and it had been an amazing development journey. Actually, I accidentally bumped into iCertGlobal while searching for an online course for preparing my PMP examination. With positive reviews all over the internet and quick responses to my questions, I was flabbergasted enough to sign-up immediately. The instructor-led PMP preparatory course helped me both offline and online preparations. All the high-quality materials written in simple layman language was enough to grasp the gist of various topics. The instructors were very knowledgeable as they imparted not only their wealth of experiences but also real life examples. Thanks a lot iCertGlobal for imbibing this great learning experience. "

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Jason Walter

Trustpilot Review,

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"Thank you for your great course, great support, rapid response and excellent service."

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Hoda Alavi

Project Manager, Mario Sinacola & Sons

★ ★ ★ ★ ★

Corporate Training

Tailored programs for teams with enterprise support

Help your team develop practical AI project management skills with a flexible PMI-CPMAI corporate training program that aligns with your organization’s goals, schedule, and industry needs.

As more companies adopt AI technologies, teams need the right knowledge to manage AI projects successfully. Our corporate PMI-CPMAI certification training helps project managers, team leads, and professionals understand how to plan, manage, and deliver AI-driven projects with confidence.

Whether you are training a small team or scaling AI knowledge across departments, group PMI-CPMAI training creates a more effective and consistent learning experience than individual preparation.

We provide a dedicated instructor for your team, flexible class schedules, and complete support throughout the PMI-CPMAI certification training program. Your organization can also track learner progress, participation, and certification readiness easily.

We work with companies in IT, healthcare, finance, consulting, manufacturing, logistics, and many other industries.

Dedicated Support
Get one point of contact for enrollment, scheduling, reporting, and training coordination.
Flexible Scheduling
Choose weekday, weekend, or blended learning options that fit your team’s availability.
Team-Based Learning
Train teams together to build shared understanding and improve collaboration on AI projects.
Progress Tracking
Monitor learner participation, assessment results, and overall training progress.
Industry-Relevant Training
Learn practical AI project management skills that can be applied directly in real business environments.
Group Pricing Benefits
Organizations with multiple participants receive special corporate pricing and team discounts.
Corporate Training

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Get a custom quote for your organization's training needs.

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Course & Support

Everything you need to know about our training options and support

What is the PMI-CPMAI certification?
PMI-CPMAI stands for PMI Certified Professional in Managing AI. The PMI-CPMAI certification validates your ability to guide AI initiatives from the initial business case and data planning through model development, deployment, governance, and ongoing improvement. It focuses on managing AI projects rather than teaching programming or a specific AI platform.
Does PMI-CPMAI certification training cover the full AI project?
Yes. The PMI-CPMAI certification training covers the complete AI project journey, including:

  • Finding the right business problem

  • Checking whether AI is suitable

  • Collecting and preparing data

  • Developing and testing the AI solution

  • Launching the solution

  • Monitoring and improving it

Are ethics and AI governance included in the PMI-CPMAI training?
Yes. The PMI-CPMAI course explains important topics such as data privacy, security, fairness, bias, transparency, and responsible use of AI.
What is the PMI-CPMAI six-phase methodology?
The PMI-CPMAI six-phase methodology is a step-by-step approach for managing an AI project—from identifying the business problem to launching and improving the final AI solution.

  • Business Understanding: Define the business problem, expected benefits, and project goals. The team also checks whether AI is the right solution.

  • Data Understanding: Identify the data needed for the project. Check where it comes from and whether it is available, accurate, and suitable.

  • Data Preparation: Clean, organise, label, and prepare the data so it can be used to build the AI solution.

  • Model Development: Select, train, and improve the AI or machine-learning model based on the project requirements.

  • Model Evaluation: Test whether the model is accurate, reliable, fair, and aligned with the original business goals.

  • Model Operationalization: Launch the AI solution, connect it with business systems, and monitor its performance. The model may be updated when data, business needs, or conditions change.

How many PDUs will I earn from this certification?
You will earn 21 PDUs (Professional Development Units) provided by PMI.
Does CPMAI cover actual project management for AI beyond model development?
Yes — model development is just one output; the framework covers ongoing monitoring and management of the full AI project.
Is the CPMAI framework based on design thinking principles?
It's based on CRISP-DM (a data-management framework); it includes some design-thinking elements but isn't fundamentally a design-thinking framework.
Is the PMI-CPMAI certification recognized globally?
Yes, PMI-CPMAI is a globally recognized credential issued directly by PMI.
Who should take the PMI-CPMAI certification training?
The PMI-CPMAI certification training is suitable for:
  • Project Managers
  • Product Managers
  • Business Analysts
  • Consultants
  • IT Professionals
  • Data and AI Professionals
  • Team Leaders
  • Digital Transformation Professionals
How is PMI-CPMAI different from PMP?
PMP teaches general project management for different industries.PMI-CPMAI focuses only on AI projects. It covers special AI challenges such as data quality, model testing, AI risks, bias, governance, and ongoing monitoring. Both certifications can be useful together.
Is PMP required before taking PMI-CPMAI?
No. You do not need a PMP certification to take PMI-CPMAI.
What salary can a PMI-CPMAI-certified professional earn?
There is no fixed salary for PMI-CPMAI-certified professionals. Your salary will depend on your experience, job role, country, industry, and company. AI Project Managers may earn more than general project managers because they work with specialised AI projects.
Why is PMP alone not always enough for AI projects?
PMP gives you strong project management skills, but AI projects also involve data, model testing, uncertainty, bias, AI regulations, and continuous updates. PMI-CPMAI teaches you how to manage these AI-specific areas.
Is the PMI-CPMAI training self-paced or instructor-led?
PMI-CPMAI training offers flexible learning options. Learners can choose from classroom training, live instructor-led online sessions, or self-paced learning based on their schedules and learning preferences.
What's included in the PMI-CPMAI training package?
Live training hours, official PMI materials, downloadable workbooks/templates, scenario exercises, CRISP-DM labs, case studies, first exam voucher, completion certificate, and a Credly digital badge.
Is ethics included as part of CPMAI training?
Yes, treated as part of governance; trustworthiness in AI is a distinct training topic.
Can I pay for the PMI-CPMAI certification course in installments?
No, installment payment options are currently not available. However, we accept payments through debit cards, credit cards, PayU, and PayPal.
What happens if I miss a live training session? Can I access a recording or reschedule?
If you miss a live training session, session recordings are available.
What is the enrollment cancellation or refund policy for CPMAI training specifically?
CPMAI training offers enrollment cancellation and refund policies. To receive a refund, you must cancel your registration and submit your request at least 7 days before the class start date.
Are there any prerequisites for PMI-CPMAI training?
No prior project management experience, technical background, AI experience, or previous certifications are required to enroll in the PMI-CPMAI course. However, you must complete the official PMI-CPMAI Exam Prep Course before you can schedule and take the certification exam.
Can I take PMI-CPMAI without project management experience?
Yes. Previous project management experience is not required. Basic project knowledge may be helpful, but beginners can also take the course.
Do I need AI, machine learning, or Generative AI knowledge?
No. You do not need previous knowledge of AI, machine learning, or Generative AI. The course explains the important concepts you need to manage an AI project.
Is coding knowledge required to enroll in the PMI-CPMAI certification training?
No. You do not need to know programming or coding. The PMI-CPMAI training is focused on managing AI projects, teams, risks, and business results.
What is the eligibility for PMI-CPMAI certification?
You must: Be at least 18 years old Complete the official PMI-CPMAI Exam Prep Course Pass the PMI-CPMAI exam
How can I register for the PMI-CPMAI training?
You can purchase the PMI-CPMAI certification course from a PMI Authorized Training Provider such as iCertGlobal. After completing the course, you can schedule your exam.
What are the PMI-CPMAI exam fees?
The fee may vary based on PMI membership and applicable taxes. PMI members may receive a discounted price. Check the official PMI website for the latest price
Is any PMI-CPMAI certification course mandatory before I can take the exam?
Yes — completing the official Exam Prep Course is required before you can schedule the PMI-CPMAI exam.
Is there a time limit to complete the course and exam?
Yes. You have one year (12 months) from the date of purchase to obtain your PMI-CPMAI certification. You can attempt the exam up to three times within this eligibility period. Additional fees apply to retakes.
How difficult is the PMI-CPMAI exam, and what is its format?
The PMI-CPMAI exam can be challenging if you rely only on memorising definitions. It tests your ability to apply the CPMAI approach to real-world AI project scenarios involving business needs, data, AI risks, and model performance. The exam consists of 120 questions, including 100 scored questions and 20 unscored pretest questions, to be completed in 160 minutes. There are no scheduled breaks. You can take the exam online through remote proctoring or at a Pearson VUE test centre. PMI does not publish a fixed passing percentage; candidates receive a pass or fail result.
How long does it take to prepare for the CPMAI exam beyond the training itself?
Most candidates need 3 to 6 weeks of study after training to prepare for the CPMAI exam. This time is spent reviewing the six CPMAI phases and taking practice exams, varying based on your AI and project management background.
What type of questions are asked?
The exam mainly includes situation-based and scenario-based questions. You may be asked what a project manager should do in a real AI project situation.
How difficult is the PMI-CPMAI exam?
The exam can be challenging if you only memorise definitions. You should understand how to apply the CPMAI approach to real situations involving data, business needs, AI risks and model performance.
What are the exam domains and their weightage?
The exam covers five main areas: Responsible and trustworthy AI - 15% Business needs and solutions - 26% Data needs - 26% AI model development and evaluation - 16% Launching and managing the AI solution - 17%
How should I prepare for the exam?
You should:
  • Complete all PMI-CPMAI certification course modules
  • Understand each CPMAI phase
  • Review the workbook
  • Practise scenario-based questions
  • Study business and data topics carefully
  • Take mock exams
Will a question bank be provided?
The official course may include practice activities and scenario-based exercises. PMI also offers a separate practice exam. Our training program includes extra mock tests and question banks.
What study materials are provided?
Study materials include: Case studies Scenario-based exercises Exam Content Outline guidance Mock tests
What is the duration of the PMI-CPMAI training?
The PMI Exam Prep Course is conducted for 24 hours spanning 3 days.
What topics are covered in the PMI-CPMAI training?
The PMI-CPMAI certification course helps you develop a sound knowledge of the following topics:
  • Understanding why AI projects need a different management approach
  • Aligning AI projects with business goals
  • Checking whether an AI idea is practical and valuable
  • Defining data requirements for the project
  • Planning and managing data preparation
  • Managing AI and Generative AI development
  • Coordinating model testing and evaluation
  • Planning the launch and adoption of AI solutions
  • Managing project risks, ethics, governance, and compliance
  • Monitoring performance and improving the AI solution over time
How many PDUs will I earn upon completion of the PMI-CPMAI certification course?
The 24-hour PMI-CPMAI certification course provides 21 PDUs for maintaining other PMI certifications. These include:
  • 7 Business Acumen PDUs
  • 11 Ways of Working PDUs
  • 3 Power Skills PDUs
Can I use these PDUs to renew my PMP?
Yes. The 21 PDUs can be used toward PMP renewal PMP holders need 60 PDUs every three years, so this course covers more than one-third of that requirement.
Do I need to attend PMP training again to earn these PDUs?
No. The PMI-CPMAI course is a separate learning activity. You can earn 21 PDUs without repeating your PMP training.
Does the PMI-CPMAI certification expire?
Yes. The certification must be renewed every three years.
How do I maintain the certification?
You must earn 30 PDUs every three years. You can earn PDUs through activities such as: Training and courses Reading Teaching Presenting Volunteering Creating professional content
What happens if I fail the exam?
You may take the exam up to three times during your one-year eligibility period. You will need to pay a retake fee for another attempt.
Does the PMI-CPMAI training cover Generative AI?
Yes. Generative AI is included as part of AI model development and delivery. The PMI-CPMAI certification course does not focus on one specific AI tool. It teaches an approach that can be used even as AI technology changes.
Why do AI projects take longer and need regular updates?
AI projects depend heavily on data. Teams may need extra time to clean data, test models and improve results. After launch, the AI system must also be monitored because its performance may change when new data or user behaviour changes.
In which phase are governance and compliance included?
Governance and compliance are considered throughout the AI project. They are especially important when collecting data, developing the model, testing the solution, and putting it into use. The project manager helps coordinate these activities with legal, security, compliance, and technical teams.
What specific changes has PMI introduced to adapt CRISP-DM for AI/ML?
CRISP-DM (from the late 1970s, unchanged since 1999) lacks AI-specific elements; PMI built six CPMAI phases on top of it to make it AI/ML-applicable.
How does CPMAI apply to service-oriented/MS Project-based work, and why isn't PMP enough?
CPMAI applies specifically where a project involves building an AI model or data-dependent system (e.g., a chatbot); PMP alone lacks the data-centric methodology CPMAI provides.

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