A structured AIPM 30-day study plan with reading order, review loops, practice timing, and final-week priorities.
On this page
Use this plan when you want a clear route through AIPM instead of bouncing between AI vocabulary, tool examples, and project-management scenarios without a structure.
Best reading order
Read the root page so you know what AIPM is actually testing.
Read AI basics for project managers first so the later chapters stay grounded in project language rather than generic AI hype.
Read The AI project life cycle next, because it anchors problem scoping, evaluation, and iteration.
Read AI tools, techniques, and delivery choices so you can connect tools to project outcomes instead of treating them as novelties.
Read Organizational adoption and governance challenges so you can judge what blocks implementation in the real world.
Read Real-world applications and case judgment and Action planning and future readiness last.
Short revision loop
Session 1: Chapters 1 and 2.
Session 2: Chapter 3.
Session 3: Chapter 4.
Session 4: Chapters 5 and 6 plus the cheat sheet.
Session 5: Mixed practice and one focused re-read of the weakest chapter.
How to review a miss
Identify whether the mistake was about problem scoping, life-cycle logic, tool fit, adoption/governance, or action planning.
Re-read only the section that governs that mistake.
Write one short rule that would have prevented the miss.
Final-review pattern
Near exam day, use the glossary for exact language, the cheat sheet for fast distinctions, and the weakest chapter for one deliberate re-read before you return to practice.
When to move into practice
Move into heavier practice once you can explain:
how to frame AI project problems in business terms instead of hype or tooling language
when experimentation is useful and when governance, readiness, or stakeholder risk should slow the move
why the strongest answer usually balances learning speed with evidence, human judgment, and controlled delivery