Demystifying MLOps -- Propelling Models from Prototype to Production

Welcome to the blog series on Machine Learning Operations (MLOps). In this blog series I will walk you through the basics of MLOps, its associated roles, methodologies, challenges and the steps to automate the process of building an ML workflow transforming your prototype into a production-ready ML application. In this section, I will introduce you to the concept of MLOps, how it differs from DevOps and finally explain to you the role of an MLOps engineer. Here, we will cover the different types of MLOps solutions available, along with their pros and cons. Now that you have identified which level of MLOps your company is in, you can go with one of the following MLOps infrastructures.