๐ข ML in Production โ MLOps
One model, taken from notebook to production: reproducible training, MLflow tracking & registry, Docker, FastAPI, vLLM, CI/CD gates, drift monitoring, continuous retraining.
10-Lesson mini-course โ One model, taken from notebook to production: reproducible training, MLflow tracking & registry, Docker, FastAPI, vLLM, CI/CD gates, drift monitoring, continuous retraining.
Like every course on this site, each lesson is a deep, code-first lesson: an intuition-first explainer, a staged code walkthrough explaining the methodology line by line, visuals, and a ๐งช Your task exercise with a hidden solution. Theory lives in the AI & ML Encyclopedia; here you build.
โถ Start Lesson 1 ๐ All mini-courses