This repository contains lecture notes for a Udemy course on MLOps (Machine Learning Operations). It covers the end-to-end lifecycle of deploying and maintaining ML models in production environments. The content likely spans topics such as model training pipelines, deployment strategies, monitoring, and CI/CD for ML systems.