Ai Governance | Cpmai Certification - Exam Prep
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 25m | Size: 4.03 GB
Full exam prep across all 5 CPMAI domains - with quizzes, role plays, assignments, and a downloadable toolkit.
What you'll learn
Master all 5 PMI-CPMAI exam domains mapped directly to the official 2025 Exam Content Outline
Apply the CPMAI Methodology to plan, execute, and operationalise real-world AI projects
Manage responsible AI practices including bias checks, transparency, and regulatory compliance
Oversee data identification, evaluation, and readiness decisions throughout the AI project lifecycle
Prepare confidently with chapter quizzes, mock tests, assignments, role plays, and a downloadable toolkit
Requirements
No prior AI certification or technical background is required to enrol in this course
Basic familiarity with project or product management concepts is helpful but not mandatory
A willingness to study scenario-based questions and apply structured thinking to AI project decisions
Description
This course contains the use of artificial intelligence.
AI project management is one of the fastest-growing professional disciplines of the decade - and the PMI-CPMAI is the certification that proves you can do it.
Organisations are launching AI initiatives at speed, but most project professionals lack structured training in how to manage them. AI projects fail not because the technology doesn't work - they fail because they are poorly scoped, under-governed, data-deficient, or operationalised without adequate controls. The PMI-CPMAI certification addresses exactly that gap. And this course gives you the structured, exam-ready preparation to earn it.
Built directly against the official 2025 PMI Exam Content Outline, this course covers every domain, every task, and every enabler you need to understand - in practical language, with real-world context.
What This Course Covers
• The CPMAI Methodology and how it differs from traditional project management and agile frameworks
• Domain I - Responsible and trustworthy AI: privacy planning, bias detection, transparency, regulatory compliance, and accountability documentation
• Domain II - Business needs and solutions: problem framing, feasibility analysis, risk assessment, scope definition, ROI, and business case creation
• Domain III - Data needs: data definition, source identification, quality evaluation, go/no-go decisions, and communicating data readiness to leadership
• Domain IV - AI model development and evaluation: algorithm oversight, QA/QC, training management, data transformation, and model operationalisation readiness
• Domain V - Operationalising AI solutions: deployment planning, governance, KPI monitoring, transition, contingency planning, and lessons learned
Learning Features Included
• Chapter quizzes at the end of every section to reinforce and test your understanding
• An initial diagnostic practice test and a final full-length practice test - both aligned to the real exam format
• Scenario-based assignments that develop practical, decision-making skills across key domains
• Role play simulations that place you in stakeholder meetings, compliance reviews, and governance sessions
• A downloadable toolkit of 15 templates, checklists, quick reference cards, and practice materials mapped to the course
Who Will Benefit
• Project managers and programme managers looking to specialise in AI project delivery
• Product managers and business analysts working on or alongside AI initiatives
• AI leads, technology managers, and delivery professionals who need a governance and management framework for AI
• Professionals seeking the PMI-CPMAI credential with no prior AI certification required
Prerequisites
No prior AI certification or technical background is required. A working familiarity with project management concepts is helpful. The exam and this course require no prior experience - only the willingness to engage with structured, scenario-based learning.
By the end of this course, you will have the knowledge, the practice, and the confidence to pass the PMI-CPMAI exam - and to apply the CPMAI Methodology to real AI projects in your organisation from day one.
Who this course is for
Project managers, product managers, and programme managers looking to specialise in managing AI initiatives
Business analysts, AI leads, and technology professionals who oversee or contribute to AI project delivery
Professionals seeking the PMI-CPMAI certification as a credential in AI project and product management
Ai Governance | Cpmai Certification - Exam Prep
