Amazon SageMaker is a fully managed machine learning (ML) service, that allows data scientists and developers to build, train, and deploy ML models for any use case, with fully managed infrastructure, tools, and workflows.

In this session, we will cover various Amazon SageMaker features with focus on its deployment capabilities. Amazon SageMaker provides multiple features to manage resources and optimize inference performance when deploying machine learning models. We will see how these features can be leveraged to deploy and manage machine learning models at scale.