Made With ML is a comprehensive course teaching how to build production-grade ML applications. It covers the full ML lifecycle from design and development through deployment and iteration, combining machine learning with software engineering practices. The curriculum includes topics such as LLMs, deep learning with PyTorch, distributed training with Ray, data quality and MLOps.