Prompt engineering training
Getting production-grade work out of language models, not demonstrations.
| Duration | 2 jours (14 h) |
|---|---|
| Format | On-site |
| Level | Beginner |
| Participants | — |
| Price | On request |
| Certificate | Yes |
Who is this course for ?
Business teams who already use generative AI daily and get inconsistent results.
What will you be able to do by the end ?
- Structure an instruction so the result is stable from one run to the next.
- Break a complex task into steps the model handles correctly.
- Connect a model to your own documents and keep control of its answers.
- Measure the quality obtained instead of eyeballing it.
- Spot the situations where a language model is not the right tool.
Programme
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Day 1 — Writing reliable instructions
The anatomy of an instruction: role, context, task, format, examples. Breaking work into steps. Handling edge cases and refusals. Workshop on your own documents.
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Day 2 — Connecting, controlling, measuring
Document retrieval over your own files, source citation, guardrails. Building a test set and measuring the quality of the answers.
Prerequisites
Regular use of a conversational assistant. No programming prerequisites.
How is the course run ?
Two days entirely in workshop format, on the tasks your teams already perform. Every instruction written is tested, measured and corrected in the session.
Further reading
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Training your teams in generative AI: the standard three-day programme
Three days are enough to make a business team self-sufficient with generative AI, provided they work on their own tasks. Here is the outline we follow.
Frequently asked questions
Are courses delivered at our offices?
Yes, and that is the format we recommend: your teams work in their own environment on their own data. Remote and hybrid delivery are possible depending on your constraints.
How many participants per session?
We deliberately cap group sizes to keep time for individual support during exercises. The exact number is set in the quote, according to the course and the level of the group.
Do we work on our own real data?
Yes wherever possible, and this is the main difference from generic training. Exercises use your real datasets, which means participants leave with dashboards and automations they can put straight to use.
Is a certificate issued?
Yes, a named certificate is given to each participant at the end of the course, together with the detailed programme covered.
What happens after the course?
The materials, exercise workbooks and working files stay with you. Follow-up support can be included in the quote, to answer the questions that surface once the learning is put into practice.
How much does a training course cost?
The price depends on four things: the course chosen, its length, the number of participants and the location. An in-house session run on your own data is not priced like a short refresher. We send a quote within 48 hours, free and with no commitment, after a thirty-minute conversation to frame the need and the level of the group.
Updated Aug. 11, 2026