The AI Models course is a theoretical preparatory course for the practical application of Machine Learning and Deep Learning, designed for professionals with a STEM background who wish to acquire a solid understanding of the models underlying Artificial Intelligence. The course provides a structured overview of the main elements that make up an AI system, starting from the role of data and features, through to classic Machine Learning models, Deep Learning, and the most recent Generative AI approaches. For each family of models, the operating principles, conceptual differences, main application areas, and the most relevant use cases in industrial contexts are illustrated. Particular attention is paid to model selection criteria, performance evaluation metrics, and the trade-offs between complexity, accuracy, and data availability, providing participants with the conceptual tools necessary to understand why one model is more suitable than another in a specific application scenario. The course requires basic prior knowledge of Artificial Intelligence and is aimed at those with a basic familiarity with programming or technical and engineering concepts. At the end of the course, participants will have the essential theoretical foundations to approach advanced practical courses on the use and implementation of Machine Learning and Deep Learning models in a conscious and effective manner. <\/p>\n","protected":false},"featured_media":13607,"template":"","percorso":[191],"livello":[189],"class_list":["post-13606","corsi","type-corsi","status-publish","has-post-thumbnail","hentry","percorso-artificial-intelligence","livello-introductory"],"acf":[],"yoast_head":"\n