You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
PMIPMI Certified Professional in Managing AI (PMI-CPMAI)
The PMI Certified Professional in Managing AI (PMI-CPMAI) certification validates your ability to lead AI-driven projects and initiatives with confidence. Designed for project professionals, it equips you to navigate the unique challenges of AI, from defining use cases to managing data, models, and ethical considerations. Earning it demonstrates you can bridge the gap between technical AI teams and business goals, ensuring responsible and successful AI adoption.
Exam formatMultiple choice
Duration160 minutes
DeliveryPMI
Free questions1035
Content last reviewed 30 July 2026 · Up to date
The certification
What PMI Certified Professional in Managing AI (PMI-CPMAI) proves, and what it asks of you
What this certification covers, who it is written for, and what the exam itself looks like on the day.
5domains
37objectives
248concepts
US $500exam fee
What it is
What this certification is
What it validates, who it is written for, and the experience it assumes.
About this certification
The PMI Certified Professional in Managing AI (PMI-CPMAI) certification is a specialized credential from the Project Management Institute (PMI) for professionals who lead, manage, or oversee AI projects and initiatives. It focuses on the practical application of AI within a project management context, covering the entire lifecycle from opportunity assessment and use-case definition to model deployment, monitoring, and governance.
This certification equips you with the skills to bridge the gap between business strategy and technical implementation. You will learn to manage the unique risks and complexities of AI, including data quality, model bias, and ethical considerations, ensuring that AI projects deliver tangible business value while adhering to responsible AI principles. Earning the PMI-CPMAI demonstrates your readiness to lead in an AI-driven world.
Who it’s for
This certification is for project managers, program managers, portfolio managers, and other project professionals who are involved in or responsible for AI-related projects. It is also valuable for team leads, product owners, and business analysts who need to manage AI initiatives effectively. If you are looking to upskill and specialize in the rapidly growing field of AI, or if your organization is beginning to adopt AI and needs leaders who understand both the technology and the management principles, this certification is designed for you.
Recommended experience
While there are no mandatory prerequisites, a foundational understanding of project management principles and a familiarity with AI concepts is recommended. Experience leading or managing projects, ideally with some exposure to technology or data-related initiatives.; A basic understanding of AI concepts, such as machine learning, natural language processing, and data analytics.; Familiarity with PMI's project management framework and terminology.
The syllabus
What you’ll learn
Every domain and objective PMI measures, with the weight they carry on the exam.
The official PMI exam outline · checked 30 July 2026 · See the source
Support Responsible and Trustworthy AI Efforts
- Oversee privacy and security plan
- Manage AI/ML transparency (e.g., data selection, algorithm selection)
- Conduct bias checks (e.g., model, data, algorithm)
- Monitor regulatory and policy compliance
- Manage accountability documentation and audit trail
Identify Business Needs and Solutions
- Identify problem to be solved (e.g., needs, persona)
- Evaluate initial AI feasibility
- Conduct risk assessment(s) (e.g., security, safety, ethics)
- Develop AI project scope statement
- Determine ROI
- Manage adoption/integration risks
- Draft AI solution
- Define success criteria (e.g., KPIs, metrics)
- Support business case creation
- Identify project resources (e.g., people, hardware, contractors)
Identify Data Needs
- Define required data
- Identify data SMEs
- Identify data sources and locations
- Coordinate AI workspace and infrastructure
- Gather required data
- Check data privacy, compliance, and access
- Oversee data evaluation
- Determine if data meets solution needs
- Convey data understanding to leadership
Manage AI Model Development and Evaluation
- Oversee AI/ML model technique(s) (e.g., algorithm, selection)
- Oversee AI/ML model QA/QC (e.g., configuration management, model performance)
- Manage AI/ML model training
- Manage data transformation to conduct data preparation
- Verify data quality for go/no-go decision to conduct data preparation
- Verify model ready for operationalization go/no-go decision
Operationalize AI Solution
- Manage creation of AI solution deployment plan
- Manage AI solution deployment
- Oversee model governance
- Oversee AI solution metrics (e.g., KPI, model performance)
- Prepare final report/lessons learned
- Manage AI solution transition plan
- Oversee AI solution contingency plan
On the day
The exam itself
Everything PMI publishes about sitting it, and nothing we inferred.
Prerequisites
No mandatory prerequisites — this certification has no required predecessor exam or credential.
CertificationPMI Certified Professional in Managing AI (PMI-CPMAI)
Exam formatMultiple choice
Duration160 minutes
DeliveryPMI
LanguagesEnglish
PricingUS $500
Certification levelProfessional
After you pass
Where this credential goes next
The path PMI lays out, how the credential is kept, and where to book.
Step-by-step path to PMI Certified Professional in Managing AI (PMI-CPMAI)
Credential earnedPMI Certified Professional in Managing AI (PMI-CPMAI) Professional level certification Renewal and maintenance
PMI certifications are maintained by earning Professional Development Units (PDUs) to ensure your skills remain current. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirements Lifecycle status
This certification is currently active and available. PMI maintains this certification to validate current skills and industry relevance.
Exam status: ActiveMaintained by PMI
Exam registration
Register for the exam through PMI, PMI’s authorized testing partner.
Schedule your examVisit the official PMI certification page for exam policies and requirements.
View the official pageYour coach
And when you are serious, your coach Pip takes over
Your coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksBefore you book
Questions people ask
Is the PMI-CPMAI certification a prerequisite for any other PMI certification?
No. PMI does not currently list the PMI-CPMAI as a mandatory prerequisite for any other certification. It is a standalone specialized credential.
How does the PMI-CPMAI relate to other PMI certifications like the PMP?
The PMI-CPMAI is a specialized certification focused specifically on managing AI projects. While the PMP is a generalist certification for project management, the PMI-CPMAI provides targeted skills for the unique challenges of AI initiatives. They are complementary credentials.
What is the retake policy if I fail the PMI-CPMAI exam?
PMI's standard retake policy applies. You must wait a period of time between attempts, and there are limits on the number of attempts allowed within a certain timeframe. Check the official PMI website for the most current policy.
Are there any hands-on or lab-based components in the PMI-CPMAI exam?
The PMI-CPMAI exam is a knowledge-based exam consisting of multiple-choice questions. It does not include a hands-on lab component.
What job roles does the PMI-CPMAI credential map to?
This credential is designed for project managers, program managers, and other professionals who lead or are involved in AI projects. It is also relevant for product managers, business analysts, and team leads working on AI initiatives.
Can I earn PDUs for maintaining my PMI-CPMAI certification by taking other PMI courses?
Yes, PMI certifications are maintained by earning PDUs. You can earn PDUs through a variety of activities, including taking PMI courses, attending webinars, and contributing to the profession.
Information freshness · Content last reviewed on 2026-07-30 Up to date
Practice free questions 1035 questions, free, no account needed.
The curriculum
The whole exam, mapped and written
Every domain, every objective, and every concept PMI measures — each one written out.
5domains
37objectives
248concepts
222free pages
The domains, and what sits inside them
Every objective below is a page you can open and practise now, without an account.
The official PMI exam outline · checked 30 July 2026 · See the source
1Support Responsible and Trustworthy AI Efforts145 questions
Oversee privacy and security plan7 concepts · 6 pagesOpen →Manage AI/ML transparency (e.g., data selection, algorithm selection)9 concepts · 7 pagesOpen →Conduct bias checks (e.g., model, data, algorithm)5 concepts · 5 pagesOpen →Monitor regulatory and policy compliance6 concepts · 7 pagesOpen →Manage accountability documentation and audit trail5 concepts · 6 pagesOpen →
2Identify Business Needs and Solutions267 questions
Identify problem to be solved (e.g., needs, persona)10 concepts · 7 pagesOpen →Evaluate initial AI feasibility6 concepts · 5 pagesOpen →Conduct risk assessment(s) (e.g., security, safety, ethics)8 concepts · 6 pagesOpen →Develop AI project scope statement5 concepts · 6 pagesOpen →Determine ROI5 concepts · 4 pagesOpen →Manage adoption/integration risks5 concepts · 5 pagesOpen →Draft AI solution5 concepts · 5 pagesOpen →Define success criteria (e.g., KPIs, metrics)5 concepts · 5 pagesOpen →Support business case creation6 concepts · 7 pagesOpen →Identify project resources (e.g., people, hardware, contractors)9 concepts · 7 pagesOpen →
3Identify Data Needs249 questions
Define required data9 concepts · 7 pagesOpen →Identify data SMEs5 concepts · 6 pagesOpen →Identify data sources and locations5 concepts · 6 pagesOpen →Coordinate AI workspace and infrastructure10 concepts · 6 pagesOpen →Gather required data5 concepts · 5 pagesOpen →Check data privacy, compliance, and access6 concepts · 6 pagesOpen →Oversee data evaluation5 concepts · 5 pagesOpen →Determine if data meets solution needs5 concepts · 5 pagesOpen →Convey data understanding to leadership6 concepts · 7 pagesOpen →
4Manage AI Model Development and Evaluation180 questions
Oversee AI/ML model technique(s) (e.g., algorithm, selection)7 concepts · 6 pagesOpen →Oversee AI/ML model QA/QC (e.g., configuration management, model performance)9 concepts · 7 pagesOpen →Manage AI/ML model training10 concepts · 8 pagesOpen →Manage data transformation to conduct data preparation10 concepts · 8 pagesOpen →Verify data quality for go/no-go decision to conduct data preparation6 concepts · 5 pagesOpen →Verify model ready for operationalization go/no-go decision7 concepts · 5 pagesOpen →
5Operationalize AI Solution194 questions
Manage creation of AI solution deployment plan10 concepts · 8 pagesOpen →Manage AI solution deployment5 concepts · 6 pagesOpen →Oversee model governance9 concepts · 7 pagesOpen →Oversee AI solution metrics (e.g., KPI, model performance)5 concepts · 5 pagesOpen →Prepare final report/lessons learned7 concepts · 7 pagesOpen →Manage AI solution transition plan6 concepts · 6 pagesOpen →Oversee AI solution contingency plan5 concepts · 3 pagesOpen →
Not a table of contents
Every line on this map already opens
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
Oversee privacy and security plan6 pagesOpen →
Free in front of it
29 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
Reading the map is not the same as knowing the ground
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
Free questions
1035 questions. No account, no card.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
1035questions
222pages
37objectives
Freealways
Browse by domain
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
1Support Responsible and Trustworthy AI Efforts145 questions
2Identify Business Needs and Solutions267 questions
3Identify Data Needs249 questions
4Manage AI Model Development and Evaluation180 questions
5Operationalize AI Solution194 questions
What a practice page gives you
1Five to a page
Short enough to finish, long enough to matter.
2Every answer explained
Not only which one is right — why the others are wrong.
3A discussion on each
Ask, answer, and vote. Every question has its own thread.
A question, and the idea behind it
Every question comes from a concept
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.
The visual book
See it once. Carry it into the exam.
The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.
248concepts
1035free questions
Why a picture, and not another paragraph
Three reasons, and each one is a real finding rather than a slogan.
You can see it againThe whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · MayerThe look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioWhat one page is made of
You are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.
1A numbered strip on top
The idea as a sequence, followed with a finger before a word is read.
2Panels for the parts
What it is, how the machine learns it, when it is the right tool.
3The trap, framed
The distinction the exam tests, given its own box instead of buried in prose.
4One line at the bottom
The sentence to carry into the exam room.
Open book, on purpose
Answer it with the picture beside you
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
It teaches · it does not count
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?
AImage classification
BFacial recognition
COptical character recognition
DObject detection
Look at the five steps. Detect finds a face, align straightens it, encode turns it into numbers, search compares it with a stored face, and decide answers one question: is this the same person? Classification would only say “a face”. Detection would only draw a box. Neither decides whose.
Then the page shuts, and it starts counting
The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Official resources
Straight from PMI
Where the exam is defined, scheduled and scored.
1official link
248concepts mapped
The source
PMI’s own pages
We link to them rather than repeat them, so nothing here goes stale behind them.
Checked against the source
Every objective on the official PMI outline already has questions here
We build from the official skills outline, not from a summary of it — 37 objectives, 248 concepts written under them, and free questions against every one. When PMI changes the outline, this page changes with it.
37objectives on the outline→248concepts written→1035free questions
An official page tells you what will be asked. It cannot tell you what you will get right.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.