Information on the training
Training plan

The use of large language models (LLMs) such as ChatGPT or Copilot is becoming widespread in organizations. However, their use often remains limited due to a lack of understanding of how they work and of prompt engineering principles, leading to inconsistent results and wasted time.
This training program enables participants to:
Understand the basics of AI and language models
Master essential principles of prompt engineering
Structure and optimize their professional writing using AI
Automate certain repetitive writing tasks
Adapt tone, style, and structure depending on the audience
Identify risks, biases, and ethical issues related to AI
Concrete examples from real professional situations
Immediate hands-on practice of acquired skills
Training delivered by an AI professional
Pragmatic approach focused on participants’ real needs
By the end of the training, participants will be able to:
Use a generative AI tool effectively to improve their writing
Structure their requests (prompts) to obtain relevant results
Adapt AI outputs to their professional context
Participants will acquire:
Fundamental knowledge of AI and LLMs
Key principles of prompt engineering
Methods to improve clarity, conciseness, and relevance of their writing
Participants will work on a complete real-world case.
Context: An employee must write a summary note for management based on several internal documents and an oral discussion.
Objective: Produce a clear, structured, professional synthesis adapted to the decision-making level.
Work Completed:
Extraction of key information
Formulation of a structured prompt to obtain a first version
Skills Mobilized:
Structuring an effective prompt
Analysis and verification of generated content
This case allows participants to apply all concepts covered during the day and demonstrates how AI can genuinely support a professional writing process.

This training is intended for employees wishing to effectively integrate generative AI into their professional practices, particularly to:
Improve the quality of their writing
Save time in drafting
Structure their ideas
Produce clearer, more precise content adapted to their recipients
Teaching materials: Use of PowerPoint presentations to illustrate key concepts and project phases
Theoretical presentations: Clear and concise explanation of the fundamentals of Financial Forecast Management
Interaction and participation: Interactive Q&A sessions to encourage participant engagement and address their questions
Active and inquiry-based method: Promote participant engagement through discussions and questioning
Participatory approach: Encourage reflection and peer-to-peer exchanges to strengthen collective understanding
In-person or remote training allowing real-time interaction and personalized follow-up
Interactive format with regular exchanges to answer questions and stimulate critical thinking
Immediate evaluation at the end of the training (debrief on any gaps)
Implementation of tools to ensure proper follow-up (attendance sheet, training certificate)
Delayed evaluation (recommended after 3 or 6 months)
