Made With ML

Use the ordered sections to connect data preparation with testing, reproducibility and production work. The curriculum treats an ML application as software that needs more than a trained model. That makes it useful when a notebook experiment must become a maintainable project. The example task fine-tunes an LLM for supervised learning, while the teaching covers broader application practices such as testing, versioning, CI/CD and monitoring. A separately advertised live cohort includes live Q&A and compute, so inspect that offering’s terms independently.