MLOps, also known as Machine Learning Operations for Production, is a set of standardized practices that can be utilized to build, deploy, and govern the lifecycle of ML models. This setup helps to ease the interaction among cross-functional teams and provides an automated platform to keep track of everything required for the complete cycle of ML models.