SageMaker Operators for Kubernetes Workshop

Amazon SageMaker Operators for Kubernetes make it easier for developers and data scientists using Kubernetes to train, tune, and deploy machine learning (ML) models in Amazon SageMaker. You can install these SageMaker Operators on your Kubernetes cluster in Amazon Elastic Kubernetes Service (EKS) to create SageMaker jobs natively using the Kubernetes API and command-line Kubernetes tools such as ‘kubectl’.

In this workshop, you'll see how to use SageMaker operators to train and deploy a machine learning model, get inferences from the deployed model, and integrate these steps into a Kubeflow pipeline.

After completing the workshop, remember to complete the cleanup section to remove any unnecessary AWS resources.