PMI-CPMAI® Exam Prep
The PMI standard for managing artificial intelligence (AI) projects - from business case to deployment to governance.
28 PDUs | Online · Ukrainian | English
The PMI Certified Practitioner in Managing AI Projects (PMI-CPMAI) is PMI's specialist credential for project leaders running artificial intelligence (AI) initiatives. It covers the full project lifecycle - business understanding, data understanding, data preparation, modeling, evaluation, deployment, and operations - and treats AI governance as a first-class topic. INSTAR's preparation is led by a PMI-CPMAI certified instructor who manages real AI projects in consulting practice.
For PMs and delivery leads running AI initiatives.
- Project managers leading AI, data science, or analytics projects.
- Product and program managers in AI-augmented delivery environments.
- Technical leads and architects who own AI delivery accountability, not just code.
- PMP and PMI-ACP holders adding AI specialization to their practice.
- Consultants and PMO leads governing AI initiatives at portfolio level.
Not the right fit: If you have no project delivery experience, start with CAPM or PMP. PMI-CPMAI assumes you already understand how projects are run.
Why train with INSTAR
- Built around the full CPMAI methodology, not a generic 'AI for PMs' overview.
- Instructor manages real AI projects in INSTAR's consulting practice.
- AI governance, ethics, and accountability covered as core domains.
- Hands-on work with real artifacts: business case, data readiness, evaluation plans.
5 modules · The CPMAI lifecycle end-to-end
Aligned to the PMI-CPMAI Exam Content Outline. Each module connects exam content to real AI project delivery, with worked artifacts and case scenarios throughout.
Business and Data Understanding
Framing the AI business case: value, feasibility, risk
Translating business problems into AI problem statements
Data understanding: sources, quality, bias, and governance implications
Stakeholder mapping for AI initiatives across business and technical functions
- •Framing the AI business case: value, feasibility, risk
- •Translating business problems into AI problem statements
- •Data understanding: sources, quality, bias, and governance implications
- •Stakeholder mapping for AI initiatives across business and technical functions
After this course you will be able to
- Pass the PMI-CPMAI exam and hold a recognized AI project management credential.
- Lead AI projects across the full CPMAI lifecycle with discipline and judgment.
- Govern AI risk, ethics, and accountability inside real delivery contexts.
- Translate AI business cases into delivery plans that finish, not pilots that stall.
- Hold 28 PDUs applicable to PMP and PMI-ACP maintenance.
- Operate with credibility on AI initiatives at delivery and governance level.
What's in the program
28 hours of instructor-led sessions.
PMI-CPMAI exam prep materials and practice questions.
Worked artifacts from real AI projects (anonymized): business case, data readiness, evaluation plan, AI risk register.
INSTAR PMI ATP certificate + 28 PDUs (Credly verified).
Group chat with instructor for the program duration.
Exam application support and eligibility check.
Alina Piddubna - PMI-CPMAI, PfMP, PgMP, PhD.
Alina Piddubna holds PMI-CPMAI alongside PfMP and PgMP and runs real AI delivery and portfolio engagements in INSTAR's consulting practice. The course material draws directly on that work, with anonymized artifacts from client engagements.
Alina Piddubna
PMI-CPMAI, PfMP, PgMP, PMI-ACP, PhD
Practical details
- Dates
- Open date - we are collecting a group
- Format
- Online, live · Ukrainian · English
- PDUs
- 28 (PMI ATP)
Upcoming cohort
Reserve your spot and we will confirm the next start date as soon as the cohort is formed.
Register for the upcoming courseInstalment payment available when paying by card. Corporate cohorts available for delivery teams running AI initiatives.