PMI-CPMAI Syllabus & Domain Map

Use this page as the coverage map for PMI-CPMAI™. On PMExams, the guide is organized around PMI’s current official domain weighting table so the reading path matches the exam structure.

Current PMI-CPMAI domain weighting

• Support Responsible and Trustworthy AI Efforts: 15%
• Identify Business Needs and Solutions: 26%
• Identify Data Needs: 26%
• Manage AI Model Development and Evaluation: 16%
• Operationalize AI Solution: 17%

Chapter map

• Support Responsible and Trustworthy AI Efforts covers privacy, security, transparency, bias checks, compliance, and accountability documentation.
• Identify Business Needs and Solutions covers problem framing, AI fit, feasibility, risk, change readiness, and solution direction.
• Identify Data Needs covers required data, ownership, sourcing rights, access planning, data quality, sufficiency, and readiness.
• Manage AI Model Development and Evaluation covers model techniques, experiments, quality control, evaluation robustness, and go or no-go evidence.
• Operationalize AI Solution covers deployment, live governance, monitoring, transition, contingency planning, and improvement.

How to study from the weighting

• spend the most time in Identify Business Needs and Solutions and Identify Data Needs, because those are the largest domains
• use Support Responsible and Trustworthy AI Efforts as a governance lens across the rest of the guide, not as an isolated ethics add-on
• treat Manage AI Model Development and Evaluation and Operationalize AI Solution as evidence-heavy judgment domains where weak answers often move forward too quickly

Best supporting pages

1. Use Study Plan if you want pacing.
2. Use Cheat Sheet for high-yield review after each domain.
3. Move to Practice once you can explain why a stronger AI project decision is stronger than a merely fast or technical-sounding option.
4. Use Resources for the official PMI source list and current certification details.