The 2nd Summer School on Advancing Scientific Discovery with AI is designed to explore the intersection of artificial intelligence and scientific research. The program covers machine learning for scientific data analysis, AI-driven experimental design, generative models in scientific applications, and the integration of AI with physical simulations. This technical and scientific programme focuses on deep learning and is primarily aimed at researchers familiar with mathematical modeling, numerical computation and Python programming. A significant part consists of hands-on sessions where participants will use Python libraries to manipulate data and implement models.