AI Prompting

How do you frame a request to AI to get a verifiable result?

1960 € per session, excl. VAT

In short

Participants learn a tool-independent method for framing a request to AI: goal, context, constraints, expected format and success criteria. They test, compare and improve their instructions through iterations, then check every result. Everyone leaves with a reusable briefing template and a small library of proven instructions built on their own cases.

Why this training?

The problem
Regular users of generative AI struggle to obtain reliable and consistent results from the AI assistants they use.
What it costs today
Repetitive tasks such as drafting, analysis, or comparison require constant adjustments, manual rework, or time-consuming verifications.
Why this skill
A structured method is necessary to formulate clear and actionable instructions for AI tools for business tasks.
What you gain
The participant and the company gain higher quality deliverables, increased autonomy in using AI, and consistent reliability of processing.

Objectives of this training

  • Clarify the objective, recipient, sources, and constraints of an AI request.
  • Separate instructions, examples, and reference documents for AI tools.
  • Decompose a complex task into AI-controllable steps.
  • Compare AI response variations using a common evaluation grid.
  • Test a prompt across diverse scenarios (simple, ambiguous, incomplete).
  • Document the limitations and reuse conditions of prompts.
  • Adapt the method to the authorised assistant’s interface: instructions, attached files and resuming a conversation.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Content writers
  • Text data analysts
  • Document comparison specialists
  • Editorial project managers
  • Communication professionals

Prior skills

  • AI Fundamentals completed, or equivalent experience (a learning prerequisite, not a registration condition).
  • For the practice: a paid subscription to an AI solution, the organisation’s authorisation for third-party tools, and actual accounts and access rights.

To prepare before the session

  • One computer per participant, configured and functional.
  • Operational access to the selected AI tools for the session.
  • A specific business case to work on during the training, using fictitious or anonymized data.

What you will work on

  1. Define what constitutes a good response

    This block allows transforming a vague request into observable criteria for an AI tool.

  2. Structure the context

    This block allows breaking down cases and imposing a usable output format for AI tools.

  3. Iterate without starting from scratch

    This block allows decomposing a task into controllable steps and evaluating results with a common grid.

  4. Build a team standard

    This block allows documenting the limitations and reuse conditions of prompts for team sharing.

What you take away

  • A library of tested prompts, adapted to business needs.
  • A brief template for drafting new instructions.
  • An evaluation grid for AI-generated responses.

Method and assessment

  • Demonstrations with explanations using a concrete case
  • Guided exercises followed by application to your role
  • Peer review of results and source verification
  • An individual or team action plan

Assessment is formative: participants complete and review a practical case linked to the intended deliverable (A tested prompt library, a briefing template and an evaluation rubric). Criteria include meeting the brief, accuracy, checks performed and the ability to explain decisions. Each participant identifies an application to test in their own work.

Frequently asked questions

What is the concrete outcome expected for my team after this training?

Your team will be able to produce more reliable content and analyses using AI tools. They will have a unified method for structuring requests, which will harmonize the quality of outputs.

Who should participate in this training and what should they know beforehand?

Professionals who frequently use generative AI for their writing, analysis, or comparison tasks should participate. It is essential to have prior familiarity with the basic use of these tools.

What data or documents are used during the session and how are they protected?

Participants can bring their own business cases. We will use fictitious or anonymized data for exercises, ensuring the protection of all confidential organizational information.

What type of exercise is carried out during the session on the presented cases?

We will work on breaking down business tasks into AI steps, formulating structured prompts, and creating an evaluation grid for responses. Each participant will test and refine their prompts.

What are the limitations of the tool and who validates the results?

AI tools have limitations in terms of creativity or factual accuracy. The participant will learn to identify these and to validate the results independently. Human expertise remains essential for final validation.

How does the training adapt to the profession and specific cases of my organization?

The training is designed to be directly applicable to business cases brought by participants. The principles of prompt structuring are universal and can be adapted to any industry.

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