The difference between a decent answer and a production-ready result lies in the prompt and the context.
Generative models are powerful but erratic. If you prompt systematically and supply the right context, you get reliable results; if you 'just try something', you keep on guessing.
You learn to work like a professional: reproducible and testable. Prompts as building blocks under version control, test sets to guard quality, and retrieval to feed the model your organisation's knowledge.
You build prompt pipelines for real tasks from your own work — tested, documented and transferable.
A consultant unlocks hundreds of policy documents through retrieval and systematically tests whether the answers are correct.
An analyst has the model deliver reports in a fixed format, ready for the next system in the chain.
A team lead builds a test set that automatically checks every prompt change.
You take this module the way you take the whole programme: classes every other week on Friday and Saturday, with a study load of 15–20 hours per week, of which 10–15 hours is self-study. The teaching is a mix of classroom sessions, workplace learning, blended learning and working groups or study teams — taught by lecturers who practise the profession themselves on a daily basis.
You conclude each theme with a professional product or a technical solution addressing a real situation in your own work, which you discuss in an assessment with the lecturer. This way your portfolio grows with real work — and your employer benefits directly.
After this module you deliver reproducible, tested prompt pipelines that colleagues can adopt and trust.
Email or call the programme team — we are happy to think it through with you.