Machine Learning Operations is a rigorous, self-paced course on moving machine-learning models into production and keeping them reliable. One intensive day covers the path from model to product and the work of monitoring, retraining, releasing, and auditing deployed models. Every lesson is available at three depths, backed by a section-scoped AI tutor, adaptive practice, and AI-graded homework, a course test, and a final exam. The course is public and requires no account.