Start with a task, not a tool
An AI training brief becomes more useful when it describes a real task. “Help our team evaluate a document assistant” gives a trainer a clearer starting point than “teach us AI.” Define what participants should be able to do after the programme and how they will demonstrate it.
Choose an exercise that reflects the work without exposing confidential information. A small, approved example is often enough to uncover the questions that matter.
Separate different learning needs
A business team learning to review AI-generated analysis needs a different pathway from developers building an application. Developers may need API integration, retrieval and evaluation. Architects may need deployment, access controls and operational trade-offs.
Bring groups together for shared concepts, then give each group exercises aligned to its responsibilities. Check prerequisites early so that time in the session is spent on the intended skill.
Plan for practice and follow-through
Ask what participants will build or complete during the programme. Agree on the tools, access requirements and review criteria before delivery. Include time to examine incorrect outputs and explain why they failed.
After the workshop, choose one small task participants can repeat independently. A follow-up discussion can focus on what worked, where they needed help and which skills need more practice.
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