AI from A to Z

🔸 Context and Challenges

The use of artificial intelligence has rapidly become widespread within organizations. Yet, the general public still poorly understands its origins, operating principles, and limitations. This lack of understanding leads to inefficient or risky uses and creates apprehension toward these new tools. It is therefore essential to support employees so they can understand AI, grasp its challenges, and use it in an informed and responsible way.

🔸 Training Benefits

This training enables participants to develop the essential knowledge and skills for an informed, secure, and responsible use of Artificial Intelligence within their organization and daily life.

Participants will have the opportunity to:

• Gain an overview of the history of Artificial Intelligence

• Understand the basics of how language models (LLMs) work: capabilities, limitations, best practices

• Master cybersecurity rules related to AI, particularly regarding data protection and confidentiality

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

• Understand the environmental impact of AI

🔸 Key Strengths of the Training

1. Concrete examples from professional situations

2. Immediate practical application of acquired skills

3. Training delivered by an artificial intelligence professional

🔸 Objectives

1. Evolution Objectives

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

• Explain the foundations and functioning of the main forms of artificial intelligence, including generative AI and language models

• Use AI to produce content adapted to their professional needs

• Adopt an informed, secure, and responsible practice, integrating ethical issues, risks, biases, and cybersecurity best practices

• Apply the techniques learned in their work environment

2. Learning Objectives

Participants will acquire:

• Fundamental knowledge of AI: history, key concepts, LLM functioning, limitations, and impacts (organizational, societal, ecological)

• Essential principles of prompt engineering for effective, structured, and reproducible requests

• Concrete and transferable use cases showing how AI can support different professions and internal processes

🔸 Example of Practical Application

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

• HR department: writing a job description for a new recruitment

• Sales: preparing a pitch for a new service

• Quality department: analyzing survey feedback

• IT department: documenting an internal process
• Executive management: preparing a strategic speech