Training - "IAG, Introduction to the Fundamentals of Generative AI for Digital Professionals"

Date
26 Jun 2025
Location
Paris

This training offered a structured introduction to generative artificial intelligence for a technical audience involved in the development of digital educational tools. Over the course of three and a half hours, participants explored how these technologies work, their real-world use cases, as well as the associated regulatory and ethical challenges. The program combined theoretical insights, practical demonstrations, and experience sharing.

Objectives of the training :

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

  • Understand the fundamental principles of generative AI models and how they work.
    Identify relevant use cases in their professional environment (e.g., digital pedagogy, automation, support).
  • Experiment with tools such as Hugging Face and Python frameworks for generative AI.
    Grasp the ethical and regulatory obligations associated with the use of these technologies.

Targeted Skills and Learning Outcomes :

Participants will develop the following skills:

  • Use of language models and Python programming.
  • Use of tools and libraries for AI-based text processing (e.g., Transformers, LangChain, etc.).
  • Ability to design a small RAG-style prototype for enhanced information retrieval
  • Identification of key compliance and data privacy concerns (including GDPR) in an academic context.

Schedule | Theme & Activity

9:00 – 9:15 | Welcome & Introduction: Presentation of objectives, speakers, and brief roundtable.
Topic: General concepts of generative AI

9:15 – 9:45 | Overview of Generative Models: Introduction to LLMs, open-source vs. proprietary models, fine-tuning, embeddings.

9:45 – 10:30 | RAG & Agentic Systems – Retrieval-Augmented Generation: How RAG architectures work.
10:30 – 10:45 | Coffee Break

10:45 – 11:30 | Python for Generative AI: Presentation of key libraries – Hugging Face (transformers, datasets), LangChain.

11:30 – 12:00 | Ethical & GDPR Issues: Key principles – data storage, usage rights, transparency, bias, and data protection.

12:00 – 12:30 | Conclusion, Discussion & Feedback: Summary of key points, Q&A, distribution of additional resources (links, MOOCs).

 

The training was offered to the following audience:

Software engineers and technicians involved in educational projects
Technical professionals interested in understanding generative AI within the context of higher education