Artificial intelligence isn’t about magic, it’s about learning! This article aims to demystify the esotericism surrounding artificial intelligence (AI) by providing a comprehensive answer to the question , “How do machines learn?” Indeed, the ” magic ” behind AI’s functioning lies in the learning phase. Artificial intelligence applications use vast amounts of data, from which patterns are identified to make data-driven decisions. There are several approaches to learning, including supervised , unsupervised , and reinforcement learning. These methods differ in their objectives and problems to solve, as well as in the type of data available: labeled examples, unlabeled examples, or through direct