MLOps (Machine Learning Operations) is a set of practices. It combines machine learning, DevOps, and data engineering. The goal is to streamline the development, deployment, and monitoring of ML models. It ensures that ML models in production are reliable, scalable, and efficient. It also reduces the time and complexity of deploying them during development.