Essentials of MLOps with Azure: 4 Spark MLflow Models and Model Registry

This series of courses introduces you to the essentials of MLOps, the application of software engineering/devops principles to the development of machine learning applications. In this course, MLOps expert Noah Gift introduces you to MLflow models and steps you through the process of creating them. Noah explains some essentials of MLOps with Azure, then goes over how to log, load, register, and deploy MLflow models. He covers how to work with your models on Databricks, as well as how to serve out a model, review its different versions, and invoke a version. Noah walks you through end-to-end machine learning on Databricks and highlights several very useful advanced features in Databricks.