AI Core

The “AI Core” label certifies the acquisition of an advanced foundation in artificial intelligence, along with technical skills for the design, prototyping, implementation, and use of complex AI systems. It also emphasizes mastery of the underlying theories of AI.

The label is structured around five key pillars:

  • Understanding ethical and regulatory aspects, as well as societal and environmental impacts;
  • Structuring and analyzing data or knowledge for use in the development of AI systems;
  • Mastery of the fundamental principles of AI and a variety of decision-making algorithms;
  • Analyzing and critically assessing the results produced by an AI system in light of the constraints imposed by the problem;
  • Implementing and integrating an AI solution at the software and/or hardware level.
Published on  January 22, 2024
Updated on April 13, 2026