Learning roadmap
AI for Project Managers
Plan and run projects where the build is fast and the proving is slow: new scoping rules, the AI risk register, and status reports that surface problems early.
4 stages~6 h
That leaves 4 stages, ~6 hours of focused work. You can clear it in any order, but the stages compound — try them top-to-bottom your first time.
- You'll pick up:
inverted timeline, evaluation weeks, last mile data, edge case tail, integration effort
Practice quizzesLab taskBuild a "timeline comparer" page: two horizontal timelines — classic build and AI build — where you drag phase blocks onto each and the tool highlights where the weight shifts (build vs eval vs data) with a warning where plans usually underestimate.
Build it in the LabCheckpointYour current project plan has an explicit evaluation phase with its own owner — not "testing" squeezed into launch week.
What you'll be able to do
- Build a realistic AI project timeline where evaluation gets the weeks it actually takes.
- Score any proposed task as plannable or not, with the five gates that decide.
- Run a risk register with the five AI-specific rows filled, owned, and reviewed.
- Cut status-report prep by 80% while making the memo more honest, not less.
Or try a related path