Talking with AI or How to Learn Effective Prompting

🔸 Context and Challenges

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 the principles of prompt engineering, leading to inconsistent results and wasted time.

🔸 Training Benefits

This training program enables participants to:

• Understand the basic functioning of LLMs

• Understand the mechanisms behind text and image generation

• Master the essential rules of prompt engineering

• Optimize the use of generative AI: fewer prompts, more relevant results

• Identify risks, biases, and ethical issues related to AI

🔸 Key Strengths of the Training

1. Concrete examples drawn from professional situations

2. Immediate hands-on application of acquired skills

3. Training delivered by an artificial intelligence professional

🔸 Objectives

1. Evolution Objectives

By the end of the training, participants will be able to:

• Explain how generative AI works

• Generate texts and images adapted to their needs

• Apply the techniques learned in their professional context

2. Learning Objectives

Participants will acquire:

• Fundamental knowledge of AI and LLMs

• Key principles of prompt engineering

• Concrete and transferable application examples

🔸 Example of Practical Application

Participants will work on a complete practical case representing a real professional situation.

Context: Communications department must prepare an internal campaign to announce a new product: the Strawberry 2.0.

Objective: Produce a set of coherent deliverables using generative AI.

Work Completed:

• Writing a clear and engaging announcement email

• Creating an illustrative visual through image generation

• Optimizing prompts to obtain more precise and faster results

Skills Mobilized:

• Needs analysis

• Construction of effective prompts

• Iteration and improvement of responses
• Verification of biases and risks related to generated content

This case study allows participants to apply all concepts covered during the day while demonstrating how AI can effectively support a professional workflow.