Artificial Intelligence is a broad term that is often misunderstood. Its subfields, such as machine and deep learning have achieved astonishing performances, such as some Large Language Models passing the Turing Test or AlphaFold offering a solution to a 50 years old problem. Because new technologies in medecine and biology generate massive amounts of high quality data (omics, images, clinicals, molecules …), there is an opportunity to leverage machine learning tools to extract relevent information and find new discoveries from these datasets. In this presentation, we will demystify machine learning to give you intuition on how it works and how it could be applied to your project. We will also cover specific deep learning applications in biology and present its future possibilities and limits through foundational models.