Module 1

Level 1 : Beginner

1. Understanding the Basics of AI
   Key definitions: AI, machine learning, deep learning, LLM.
   Differences between predictive AI, generative AI, NLP, and computer vision.
   Overview of applications by business function: HR, marketing, operations…
2. Exploring First Practical Applications
   Automating administrative tasks using AI.
   Industry-specific real-world examples.
3. Using AI Without Coding
   Introduction to prompt engineering.
   Hands-on with no-code AI tools like ChatGPT, Grammateus, etc.

Level 2 : Advanced

1. Enhancing Your Daily Work with AI
   Augmented content creation, translation, automatic summarization.
   Audio transcription and meeting analysis.
2. Using AI Responsibly
   Identifying algorithmic bias.
   Adopting ethical and responsible practices.
3. Handling Data with AI Tools
   Simple data manipulation through AI interfaces (text, spreadsheets…).
   Use case simulations by job role.

Level 3 : Master

1. Aligning AI with Strategic Vision
   Introduction to model logic (transformers, embeddings, neural networks).
   Basics of AI Risk Assessment tools (e.g. Risk Radar).
2. Ensuring Data Traceability & Security
   Concepts of traceability, access control, compliance, and protection.
3. Managing an AI Project from A to Z
   Introduction to MLOps, model deployment, monitoring, data quality and
   cleaning.