🎯 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.
