Is AI making you a faster, sharper project manager?Free AI for Project Managers skill check.
The AI for Project Managers skill check is five multiple-choice questions, one each on Work briefing, Summary verification, Meeting workflow, Confidential data and Judgment calls. It is free, takes about three minutes, and grades you from Novice to Expert with every answer explained.
- 5 questions
- About 3 minutes
- Free
Choose a course
Every course in the AI Tutor has its own check: five questions, one per topic.
AI at work 10 courses
For the job you already do, with AI in it.
Sign up free to start. Your answers are graded when you finish and saved to your record.
The AI for Project Managers skill check.Five topics, one question each.
Question 1 is below exactly as the check asks it. The answer, and why it is right, come with your result.
Project management is coordination work — briefs, summaries, notes, status updates — which makes it one of the richest surfaces for AI assistants like ChatGPT, Claude, Copilot, and Gemini. It also makes it one of the riskiest: a dropped point in an AI summary or an unchecked meeting note can quietly steer a project off course.
This 3-minute check tests five judgment calls PMs face weekly: briefing an assistant to draft work items that hold up, verifying AI summaries before they drive decisions, using AI meeting notes without letting them become an unchecked record, keeping confidential roadmap and customer material inside approved tools, and knowing which calls should never be delegated to an assistant.
Five questions, instant results, free student account — and no pretending AI replaces the judgment that makes a good PM.
- Work briefing
Problem, user, and constraints in the brief are what make AI-drafted work items stick.
- Summary verification
A summary that drives a decision deserves a pass over the original first.
- Meeting workflow
AI notes are a draft record: decisions and owners need your check before circulating.
- Confidential data
Roadmaps and customer names call for approved tools and informed attendees.
- Judgment calls
Commitments and trade-offs are the PM's to make; AI drafts around them, not over them.
You want an AI assistant to draft user stories from a feature idea. The best input is…
- AAn instruction to write stories the team can't push back on
- BThe feature name, a good assistant can infer the rest
- CThe problem, the user, the constraints, and your acceptance-criteria style
- DA competitor's press release for it to reverse-engineer
“Learn AI” means three things.This check tests one of them.
It tests using AI in project work: briefing, checking summaries, meetings, confidential data and judgement calls. No code.
- 01
Machine learning foundations
How models learn from data: the statistics, training and evaluation underneath them.
For you ifyou want to train and judge models, as an ML engineer or data scientist.
Take the Machine Learning check - 02
Applied LLM engineering
Building software on models like Claude and GPT: prompts, retrieval, agents, evals and shipping.
For you ifyou write code and want to build AI features, not train models from scratch.
Take the Generative AI check - 03This check
AI for your job
Using AI tools well in the work you already do: briefing them, checking what comes back, keeping data safe.
For you ifyou do not plan to code and want AI to make the work you do faster and better.
Three steps.About three minutes.
It is free and nothing is booked. Save the report to keep it on your account.
- 01
Pick a course
Any of the 21 courses in the AI Tutor, from Generative AI to AI for Teachers. Each check covers five topics.
- 02
Answer five questions
One question per topic, four options each. Nothing is marked until you finish.
- 03
See your readiness
Your readiness out of 10, a skill map, every answer explained, and the path through the course.
Programmes that build on this check.Your result shows where to start.
Each one teaches AI for Project Managers by building, and ends in deployed work graded against a rubric you can read.
Before you start.Three quick answers.
Does this apply outside software projects?
Yes — the scenarios are about briefing, verification, meetings, and confidentiality, which apply to project work in any industry.
Which AI tools does it cover?
It's tool-agnostic: chat assistants like ChatGPT, Claude, Copilot, and Gemini, plus AI notetakers and the AI features appearing inside project tools.
Will it tell me which tasks to automate?
It gives you a read on your judgment across five areas, including task fit. The full course goes deeper into building AI into PM workflows step by step.
Rather talk to a person?
Tell us what you want to do with AI. We’ll suggest a programme on a 15-minute call.