By the end of this course, students will have acquired a comprehensive understanding of industrial AI, enabling them to effectively apply AI techniques in real-world industrial settings. They will be equipped with practical skills in MLOps, AI deployment, and XAI, making them valuable contributors to the rapidly evolving field of industrial artificial intelligence. In the final part of the course, students will explore the emerging field of Explainable AI (XAI). They will learn techniques to interpret and explain the decisions made by AI models, with an emphasis on their application in industrial scenarios.

Temps présentiel : 30 heures

Charge de travail étudiant : 70 heures

Méthode(s) d'évaluation : Examen écrit, Projets