Learn MLOps with MLflow and Databricks – Full Course for Machine Learning Engineers

A comprehensive end-to-end course on MLflow covering experiment tracking, parameter and metric logging, model versioning, model registry, deployment via HTTP endpoints, and LLMOps for managing prompts. The course walks through setting up MLflow locally, understanding backend and artifact stores, creating experiments and runs, Show more