Intermediate · 5 lessons · about 35 min · free certificate

Leading AI adoption on a team

A practical course for managers and team leads on choosing first AI uses, writing a simple team policy, training people, measuring time saved honestly and bringing worried staff along.

For: Team leaders, supervisors and managers in any kind of organization who are asked to bring AI into their team's work.

Start lesson 1

When you finish

  • You can choose two or three low-risk first use cases for your team.
  • You can write a one-page team AI policy.
  • You can plan simple training that people will actually use.
  • You can measure time saved honestly and report it without hype.
  • You can run a risk review and respond to worried staff with respect.

Lessons

Final exam and certificate

10 questions. Score 8 or more for a free certificate of completion you can share and add to LinkedIn. Unlimited tries.

Take the final exam

Prompts you can use today

Copy one, replace the [brackets] with your details, and paste it into the AI tool you use. Leave out anything private.

List first use cases

My team does [describe work]. List 10 repetitive or drafting tasks where an AI assistant could help, and for each one rate the risk (low, medium, high) based on whether private data, safety or big decisions are involved. Explain each rating in one sentence.

Draft a one-page AI policy

Help me draft a one-page AI policy for a team of [number] people in [type of organization]. Include approved tools [list or 'to be decided'], what data is never allowed, rules for checking AI output, how to label AI help, and who to ask for help. Use plain words.

Plan a training session

Plan a 60-minute hands-on AI session for my team in [role]. Include a short introduction, two practice tasks from their real work, a safety segment, and a plan for follow-up. Use plain language and no jargon.

Pilot measurement plan

We are testing AI for [task] for four weeks. Design a simple way to measure time saved honestly, including how to time the task before and after, how to count checking and editing time, and how to record quality problems.

Risk review checklist

Create a risk review checklist for using AI on [task]. Cover privacy, accuracy, fairness, customer impact, legal or regulatory duties, and what happens if the tool is wrong. Add a question about who signs off.

Reply to a worried team member

A team member says: [paste their worry]. Help me write a respectful, honest reply that listens first, shares what we know and do not know, and invites them into the pilot. Avoid false promises.

Report results

Here are our pilot notes: [paste notes]. Write a short, honest summary for leadership: what we tried, time saved including checking time, problems found, what we recommend, and what we still do not know.

Ask the AI tutor

Ask anything about this course, in any language. The tutor is an AI: it can be wrong, and it never needs your personal details.

AI-drafted. Checked by an automated validator and a separate AI reviewer; a person has not read every lesson. Translations and tutor answers are AI-made. Found a mistake? Tell us. Tool facts last checked November 2026; features change, so check the product's own help pages. AI can be wrong. General information, not professional advice. Product names identify the tools taught; no affiliation or endorsement. Current University is not accredited; certificates of completion are not degrees, credit or licenses.