The school focuses on the progression from classical statistical inference to modern learning methods, emphasizing their interplay and applications. It aims to provide participants with a solid understanding of probability and statistics, their extension through stochastic modeling, and their role in contemporary statistical learning. The first part revisits key concepts of inference, including estimation, hypothesis testing, and regression, highlighting their limitations.