Modules fondamentaux et spécialisés dédiés au parcours Ingénieur en Intelligence Artificielle.

Phase 2A – Fondamentaux de l’Intelligence Artificielle

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Phase 2A — Fundamentals of Artificial Intelligence
Common core curriculum required for all AI courses
📍 Common phase 🧠 Key AI Concepts 🧪 Guided practice
🎯 Phase objective
This phase aims to establish a solid foundation in artificial intelligence, enabling learners to understand the fundamental concepts, concrete uses, and technical logics that underpin modern AI systems.
📘 Key topics covered
  • Fundamental principles of artificial intelligence and machine learning
  • Introduction to algorithms, data and models
  • Python applied to AI development
  • Using Git and GitHub for AI projects
  • Best practices, ethics and limitations of AI
🧩 Pedagogical approach
The training combines face-to-face sessions (ILT), practical demonstrations, tutorials, and applied exercises allowing for a gradual increase in skills before entering the specialization phase.
📌 Position in the route
Phase 2A is mandatory for all learners in the AI ​​field and is an essential prerequisite before accessing the specializations of Phase 2B.
Skill Level: Beginner