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PMI-CPMAI™ Study Plan (30 / 60 / 90 Days)

A practical PMI-CPMAI™ study plan: 30-day intensive, 60-day balanced, and 90-day part-time schedules with weekly focus by domain and tips for using the Mastery Cloud app.

On this page

This page answers the question most candidates actually have: “How do I structure my PMI-CPMAI™ prep?”
Pick a timeline, then follow the loop: Syllabus → drills → review misses → mixed sets.

How long should you study?

Choose a plan based on hours per week:

Time you can commit Recommended plan What it feels like
12–18 hrs/week 30‑day intensive fast coverage + heavy practice
7–10 hrs/week 60‑day balanced steady progress + room for review
4–6 hrs/week 90‑day part‑time slower pace + repetition

If you want one rule: start with ~60% learning + 40% practice, then flip to ~30% learning + 70% practice in the final 2 weeks.

Use the domain weights to allocate time

PMI-CPMAI domain weights (ECO, Sep 2025):

Domain Weight What to be good at
Responsible & trustworthy AI 15% privacy/security, transparency, bias checks, compliance, auditability
Business needs & solutions 26% problem framing, feasibility, scope, ROI, success criteria
Data needs 26% data definition, SMEs, sources, access/privacy, data evaluation and communication
Model development & evaluation 16% technique selection, QA/QC, training oversight, data prep, go/no-go decisions
Operationalize solution 17% deployment plans, monitoring, governance, transition, contingency, lessons learned

Use the weights as your default time split, then adjust based on weak areas discovered in practice sets.

30-Day Intensive Plan

Target pace: ~12–18 hours/week.
Goal: cover the syllabus quickly, then harden decision instincts through drills and mixed sets.

Week Focus What to do Links
1 Business needs + feasibility Work Domain II tasks; drill immediately after each task set; write a miss log. Syllabus • Practice
2 Data needs Work Domain III; practice data access/quality/evaluation scenarios; keep your “data risks” checklist. Syllabus • Cheatsheet
3 Responsible AI + model development Domain I + Domain IV; focus on governance, bias checks, QA/QC, and go/no-go gates. Cheatsheet • Practice
4 Operationalize + final review Domain V; then mixed sets and miss-log cleanup. Practice • FAQ

60-Day Balanced Plan

Target pace: ~7–10 hours/week.
Goal: cover each domain with reinforcement and spaced repetition.

Weeks Focus What to do
1–2 Business needs & solutions Clarify objectives, scope, ROI, success criteria; drill after each task set.
3–4 Data needs Define required data, find SMEs, map sources, validate access/privacy, and evaluate fit.
5 Responsible & trustworthy AI Transparency, bias checks, compliance monitoring, audit trails, security planning.
6 Model development & evaluation Technique selection, QA/QC, training oversight, data prep, go/no-go decisions.
7–8 Operationalize + consolidation Deployment, monitoring, governance, transition, contingency, lessons learned; then mixed sets.

90-Day Part-Time Plan

Target pace: ~4–6 hours/week.
Goal: slow-and-solid coverage with repetition and steady practice.

Month Focus What to do
1 Business framing + data basics Domains II–III foundation, light drills 3–4×/week.
2 Responsible AI + model work Domains I + IV, add checklists and go/no-go patterns; drill after each task.
3 Operations + review Domain V coverage, then mixed sets and miss-log cleanup.

How to integrate the Mastery Cloud app

  • Use Practice to drill right after each task set from the Syllabus.
  • Keep a miss log: each miss becomes one rule, checklist item, or decision pattern you didn’t truly own.
  • Do mixed sets in the final 2–3 weeks to force transfer across governance, data, model, and operational scenarios.
Overview
Syllabus