In this session, we will look at SQL Server Machine Learning Services & Language Extensions. We will learn how to invoke scripts or code written in R, Python, Java or .NET Core from Transact-SQL. We will see how the library management support in T-SQL provides high availability and portability for your machine learning packages. We will learn how to score rows in real-time using the native PREDICT T-SQL operator in Azure SQL using a supported model. We will also look at how you can build your own language extension for a runtime.