PMI-CPMAI Certification Training - Live Online & Classroom Exam Prep
PMI-CPMAI Certification Training prepares professionals for the Certified Professional in Managing AI (PMI-CPMAI)™ exam with 21 contact hours, structured exam prep, hands-on CRISP-DM labs, and expert-led instruction available in online and classroom formats.
Get globally recognized by enrolling in Excelsior Certification’s PMI-CPMAI Certification Training Program conducted by our Expert Trainers. PMI-CPMAI is one of the newest and most in-demand credentials for professionals managing AI initiatives. Join us today and lead AI projects with confidence, structure, and real business impact.
Key Features
What You Get With Excelsior
- 21 hours of live, expert-led PMI-CPMAI training (spread across 3 days, or self-paced)
- 21 PDUs — countable toward PMP®, PMI-ACP®, or PgMP® renewal
- Hands-on CRISP-DM labs and real AI project scenarios, not just slides
- Mock exams built around the real PMI-CPMAI exam blueprint
- Case studies from healthcare, finance, IT, and manufacturing
- Real help with your PMI-CPMAI exam application, start to finish
- Lifetime access to recordings, templates, and case studies
- No PMP, coding, or data science background required to enroll
One thing we’re really proud of: 98.6% of our students pass on the first try.
You also learn
- How to decide whether AI is even the right answer to a business problem
- How to manage data quality, privacy, and AI governance from day one
- How to talk to leadership about AI in terms of business value, not just accuracy scores
- Real scenario walkthroughs, not textbook definitions
That’s not luck. It’s because we teach the way the exam tests.
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Project management Institute
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TRAINING MODE
E-LEARNING
$249
- Learn at your own speed.
- 180 days to finish (6 months)
- Watch videos whenever you want
- 10+ exam simulators with 2,000+ practice questions
- Online exam simulator (same feel as real exam)
- Study materials (ebook, handouts, templates)
- 24/7 support (ask questions anytime)
- You get 21 PDUs
Live Online & Classroom Training
$799
- Learn from real instructors.
- 3 days, 7 hours each day (21 hours total)
- Expert PMI-authorized trainers teaching you live
- Ask questions in real time
- Meet other people managing AI projects
- Study materials (ebook, handouts, templates)
- Recorded sessions to revisit anytime
- You get 21 PDUs
Class starts from:-
- 24 Oct - Weekend Class
- 28 Oct - Weekday Class
CORPORATE TRAINING
- Train your whole team on managing AI projects.
- Custom schedule (your timing)
- Learn in your office or online
- Your own dashboard to track progress
- Flexible pricing (bulk discounts)
- You get 21 PDUs
- Best for : Companies rolling out AI initiatives who need PMs speaking the same language. We make it easy to manage.
SALARY & JOB OUTCOMES
Real Talk About the Career Upside
You’re thinking: “Is this worth the time and money?”
Here's what the numbers say:
There’s no single official industry-wide number yet; PMI-CPMAI is still a newer credential, so pay depends a lot on your role, industry, and location. But here’s what the market is showing:
US-based AI Project Managers are averaging roughly $100K–$145K/year (varies by city; San Francisco and San Jose run well above the national average).
AI-focused PM roles at AI-native companies often pay more than general PM roles at the same seniority level.
Jobs You Can Get
- AI/ML Project Manager or Program Manager.
- PMO Lead at companies rolling out AI initiatives
- Digital Transformation / AI Governance Consultant
- Senior Project Manager roles that specifically ask for AI project experience
We're not going to promise you a made-up raise number
nobody honestly can.
But pairing PM experience with AI-specific skills
is one of the clearer ways to stand out in this job market right now.
PMI-CPMAI TRAINING COURSE DESCRIPTION
What is PMI-CPMAI® Certification?
The PMI Certified Professional in Managing AI (PMI-CPMAI)™ is one of the newest and most in-demand certifications for professionals managing AI-driven projects. It validates your ability to guide AI initiatives from the initial business case and data planning through model development, deployment, governance, and ongoing improvement. Both employees and employers benefit from this certification, professionals gain a credential that stands out in a market flooded with generic AI courses, while employers get project managers who can responsibly run an AI initiative from end to end, not just talk about AI in a meeting. Through hands-on CRISP-DM labs and real-world scenario training, candidates build the skills to manage data quality, AI risk, model evaluation, and business alignment - the exact areas where AI projects most often go wrong.
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What are the course objectives?
What You'll Actually Learn to Do. This isn't theory. You're learning how to actually run an AI project.
After this class, you'll be able to:
- Decide whether AI is even the right answer to a business problem.
- Run a project through all six CPMAI phases, start to finish.
- Spot data problems early instead of finding out after the model breaks.
- Manage the uncertainty that comes with models and changing requirements.
- Apply governance so bias, privacy, and compliance don't become afterthoughts.
- Blend Agile flexibility with CRISP-DM's structure.
- Talk to leadership about AI in terms of business value, not just accuracy scores.
- Monitor a model after launch and know when it needs to be updated.
That's what PMI tests. That's what we teach.
What skills you will learn?
- Plan and run AI projects properly, start to finish
- Align AI work with real business goals, not just technical goals
- Apply AI governance, ethics, and risk management
- Use the CRISP-DM framework in practice, not just in theory
- Lead teams through the uncertainty AI projects bring
- Monitor and improve models after they go live
- Pass the PMI-CPMAI exam on your first try (98.6% of our students do)
Quick Enquiry Form
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You probably saw LSSBB on a job posting, a colleague’s LinkedIn, or maybe someone’s resume. And you’re wondering, what does that actually mean? What do these people do? Good question. I’ll
PMI-CPMAI TRAINING COURSE AGENDA
Course Overview
We conduct PMI-CPMAI training based on PMI’s official Examination Content Outline, covering the complete six-phase CPMAI methodology: Business Understanding, Data Understanding, Data Preparation, Model Development, Model Evaluation, and Model Operationalization. Instructors train you on how to manage AI project complexity, data governance, model risk, and business alignment, equipping you with the functional knowledge and practical judgment to lead AI initiatives responsibly.
Our training program will fully prepare you to pass your PMI-CPMAI certification exam and give you in-depth, hands-on knowledge of the CRISP-DM framework and AI project management best practices.
BENEFITS OF PMI-CPMAI CERTIFICATION
Why Get This Done?
- Master PMI-CPMAI concepts with real-world applications, not just definitions.
- Learn to manage an AI project from start to finish, not just the model-building part.
- Gain expertise in AI project management tools and techniques.
- Apply machine learning outputs to better project decisions.
- Improve delivery success for AI-heavy projects specifically.
- Prepare for the PMI-CPMAI exam with mock tests built around the real blueprint.
- Build confidence to lead enterprise-level AI initiatives.
- Earn a globally recognized credential that stands out in a crowded AI job market.
MODULE 1: INTRODUCTION TO PMI-CPMAI
Lesson: AI Fundamentals
- Understand the unique characteristics and challenges of AI & Machine Learning projects.
- Learn why traditional project management approaches are often insufficient for AI initiatives.
- Explore the importance of the six-phase CPMAI methodology (business understanding, data understanding, data preparation, model development, model evaluation, and operationalization) for successful AI project delivery.
- Gain a high-level overview of the PMI-CPMAI framework and AI project lifecycle.
- Discover how modern AI-driven projects require specialized planning, governance, and execution strategies.
- Build foundational knowledge to confidently manage real-world AI and ML initiatives.
MODULE 2: PROJECT LIFE CYCLE & COGNITIVE STRATEGY
Lesson: Management & Strategy
- Understand how successful AI initiatives require a specialized management approach from project planning to final delivery.
- Learn how to lead AI projects that involve evolving requirements, continuous learning models, and complex decision-making processes.
- Explore strategies for managing the unique challenges and uncertainty often found in cognitive and AI-driven projects.
- Discover how to structure the AI project life cycle to support experimentation, iteration, and continuous improvement while maintaining clear business objectives.
- Gain practical insights into data governance, including data quality, privacy, compliance, and responsible AI practices.
- Identify common AI project risks and learn effective mitigation techniques to reduce operational, technical, and ethical challenges.
- Develop the ability to balance innovation with organizational control, accountability, and strategic alignment.
- Learn how effective AI leadership can improve project outcomes, stakeholder confidence, and long-term business value.
MODULE 3: DELIVERY MODELS & VALUE REALIZATION
Lesson: Data & AI Model Management
- Learn how AI projects create business value through effective cognitive delivery models and data-driven decision-making.
- Understand the importance of strong stakeholder management in aligning AI initiatives with organizational goals and expectations.
- Explore how iterative testing and continuous validation improve AI model accuracy, reliability, and performance over time.
- Discover best practices for implementing testing phases that support learning, optimization, and model refinement.
- Gain insights into defining meaningful success KPIs for AI projects, including accuracy, efficiency, scalability, and business impact.
- Learn how to measure and track AI performance to ensure solutions deliver real and measurable outcomes.
- Understand how project managers can connect technical AI outputs with strategic business objectives and customer value.
- Develop strategies to maximize value realization and ensure AI investments generate sustainable return on investment (ROI).
- Build the skills needed to manage AI initiatives that are both innovative and commercially successful.
MODULE 4: PRACTICAL SCENARIO IMPLEMENTATION
Lesson: Real-World Applications
- Apply AI project management concepts to real-world business and technology scenarios through practical learning exercises.
- Gain hands-on experience in adapting CPMAI practices to different AI project environments and organizational needs.
- Learn how to manage evolving and fluid project scopes commonly found in AI and cognitive development projects.
- Explore practical strategies for overcoming common AI development challenges, including data limitations, changing requirements, and model performance issues.
- Understand how to bridge the gap between theoretical AI frameworks and real implementation challenges.
- Develop problem-solving skills that help improve collaboration, delivery efficiency, and project adaptability.
- Learn how certified AI project management principles can enhance project success, stakeholder satisfaction, and operational effectiveness.
- Build confidence in leading AI initiatives from concept to deployment using structured and scalable management practices.
- Strengthen decision-making abilities to deliver better project outcomes in fast-changing AI environments.
About the Exam (What to Expect)
The good news: You know exactly what's coming. PMI tells you.
The test:
- 120 questions (100 scored + 20 unscored, used for research)
- 160 minutes, no scheduled breaks
- Online, remotely proctored (or at a Pearson VUE test center)
- Mostly scenario-based questions - "what should the PM do here?"
What gets tested:
Identify Business Needs and Solutions (26%)
Deciding whether AI is the right call and aligning it with what the business actually needs.
Identify Data Needs (26%)
Making sure the right data exists, is accessible, and is fit for the job.
Manage AI Model Development and Evaluation (16%)
Testing whether a model is accurate, reliable, and actually doing what it’s supposed to.
Operationalize AI Solution (17%)
Launching the solution and keeping it working once it’s live.
Support Responsible and Trustworthy AI (15%)
Bias, privacy, fairness, and compliance built in, not bolted on.
The big shift from a general PM exam: The data readiness and responsible AI carry real weight here. It’s not “can you build a model.” It’s “can you responsibly run the project around one.”
EXAM & CERTIFICATION
What are the PMI-CPMAI eligibility requirements to take the exam?
| Prior PM Experience | Prior PMI Certification | Technical/Coding Background | Mandatory |
|---|---|---|---|
| Not required | Not required | Not required | Completion of a PMI-CPMAI Exam Prep Course before scheduling the exam |
About the exam
Step 1: Complete a PMI-approved CPMAI Exam Prep Course (our training satisfies this).
Step 2: Once eligible, schedule your test at your convenience within your eligibility window.
Step 3: Complete the 160-minute exam, consisting of 120 questions (100 scored, 20 unscored).
What is the passing score for the PMI-CPMAI Certification Exam?
PMI does not publish a fixed passing score or percentage. The passing threshold is set based on the difficulty of the specific set of questions each candidate receives, following standard psychometric practice used across PMI certifications.
How do I fill out and submit the PMI-CPMAI application form online?
Start by confirming you’ve completed the required PMI-CPMAI Exam Prep Course. Make sure the information you enter is accurate; once submitted, corrections aren’t possible, so review everything carefully before hitting submit. The email address you provide is critical, since it’s PMI’s only point of contact with you for exam scheduling and updates. Our trainers walk you through the application process during class.
How long does PMI take to process and approve an application?
Typically a few business days. If PMI selects your application for audit, processing may take longer.
What happens if I don't pass the exam?
How many attempts do I have to pass the PMI-CPMAI exam?
Refer to PMI’s official retake policy, which your Excelsior trainer will walk you through during the application process.
How long does it take to receive the PMI-CPMAI certificate?
Typically a few weeks from the date you pass the exam, consistent with other PMI credentials.
Passing Rate?
We hold a passing rate of 98.6% on the first attempt.
How long is the PMI-CPMAI Certification valid?
Each PMI-CPMAI certification cycle lasts three years, during which you’ll need to earn PDUs (Professional Development Units) through approved activities to renew.
Can these PDUs count toward my PMP renewal?
Yes. The 21 PDUs from this course count toward PMP, PMI-ACP, or PgMP renewal. PMP holders need 60 PDUs every 3 years; this covers a third of that in one course.
OUR ADVISORS
FAQs
No prior PM experience, no prior PMI certification, and no coding or technical background required. The only mandatory step is completing a PMI-approved CPMAI Exam Prep Course before scheduling the exam.
The cost of the PMP Certification exam is as follows:
| PMI Member Status | USD Fee |
|---|---|
| Non-memberUSD 555 | |
| MemberUSD 405 |
The membership fee is USD 129/ year + USD 10 application fee (one time).
The PMI-CPMAI certification course includes:
- Assistance in the application process
- Access to our e-learning content
- Practice simulation tests
- Tips and tricks videos that help you tackle the tough PMP Certification exam questions
- Online participant handbook with cross-references to the e-learning content
- Chapter end quizzes
- Free exam prep questions
No. PMP is not a prerequisite. PMI-CPMAI stands entirely on its own; it's built for anyone managing AI-driven projects, PMP or not.
PMP teaches general project management across industries. PMI-CPMAI focuses specifically on AI projects, data quality, model testing, AI risk, bias, governance, and ongoing monitoring. Many people end up holding both.
No. You don't need to write code or build models. The certification is about managing AI projects, teams, risk, and business outcomes, not the technical build itself.
There's no fixed number; it depends on your experience, role, industry, and location. What we can tell you: AI-specific PM roles are trending above general PM roles in the current market, and this credential is one clear way to signal that specialization.
Yes, that's who most of our students are. Between the 21 hours of live training and practice time, plan on roughly 8–10 hours a week for a few weeks. Most people fit it into evenings and weekends.
Our 98.6% is based on students who completed the training and actually sat the exam, first-attempt passes only, not total attempts. It's the standard industry way to measure it.
We're honest about this: we're not the biggest name in the space, and we're not the cheapest. But we teach the way the exam works, our instructors are real people (not just recordings), and our 100% money-back guarantee means we only win if you do.
It’s a word-of-mouth thing
Want to know what it’s like to do business with us? Hear from our customers and maybe check out some of our Trustpilot reviews.
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