Prompt engineering training
for work that ships.
Good prompting is a skill, and most teams learn it by trial and error. We teach it directly: the patterns that hold up in production, how to judge and improve what a model returns, and the guardrails that keep it safe. Hands-on, remote, worked on your team's real tasks rather than toy examples.
Prompting that survives past the demo
We teach the patterns that actually work: clear instructions and structure, giving the model the right context, worked examples, breaking a hard task into steps, and knowing when a single prompt is enough versus when the job needs retrieval or a tool.
The focus is reliability, not clever one-liners. A prompt that works once in a demo and fails on the tenth real input is not a working prompt, and we teach the difference.
Reading and improving AI output
Your team learns to review what a model returns with a critical eye: spotting hallucination, checking grounding, and recognizing when confident output is wrong. Then how to iterate a prompt toward a result that holds.
We also cover the safety side: what not to put into a model, where outputs need a human check, and the usage norms that keep prompting safe across a team.
Reusable prompts and a way of working
Teams leave with a library of prompts for their real tasks, a repeatable method for writing and improving them, and the recordings to bring new joiners to the same level.
This is one hands-on track within the wider Training offer, and it pairs with our free prompt library, where your people can taste the material before the session.
Common questions.
Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.
Make your team genuinely good at prompting.
Tell us the tasks your team runs. We come back with a hands-on prompt engineering plan worked on your real work.