This video explores MLflow, the goto opensource platform for managing your machine learning projects. Learn how to streamline your workflow: manage model artifacts and metrics, register and track models, effortlessly move them to production, and deploy them for inference using MLflow endpoints. Click on Exercise 6 for containerized ML deployment.