MLOps (Machine Learning Operations) is the practice of combining machine learning, DevOps, and data engineering to streamline and automate the deployment, monitoring, and management of ML models in production. This complete beginner’s guide explains the core concepts of MLOps, including model training, version control, CI/CD for ML, model deployment, and monitoring. Designed for aspiring data scientists, ML engineers, and IT professionals, it covers the full lifecycle of machine learning projects.