The Duke AI Health Community of Practice is pleased to announce the Duke Machine Learning Summer School 2025: Generative AI (MLSS-GenAI), a 5-day, in-person class that provides lectures on the fundamentals of generative AI methods and applications. The curriculum is designed for individuals interested in learning about generative AI, with a focus on recent deep learning methodologies. MLSS-GenAI will introduce the mathematics and statistics at the foundation of current generative and representation learning models and provide hands-on training in the latest machine learning software using the PyTorch framework.
Strength in mathematics and statistics is a significant plus and will make all MLSS-GenAI material more accessible; however, it is not required to benefit from much of the program. Concepts will be introduced as intuitively as possible, with minimal math and technical details. As concepts are developed, more math will be introduced, but only the minimum needed to explain concepts. Case studies will demonstrate how the technology is used in practical generative AI applications. Finally, the class will introduce participants to coding software used to make such technology work in practice.
