Kubeflow is a popular open-source machine learning (ML) toolkit for Kubernetes users who want to build custom ML pipelines. Kubeflow Pipelines is an add-on to Kubeflow that lets you build and deploy portable and scalable end-to-end ML workflows. In this session, learn how to get started with Kubeflow Pipelines on AWS. See how you can integrate powerful Amazon SageMaker features such as data labeling, large-scale hyperparameter tuning, distributed training jobs, and secure and scalable model deployment using SageMaker Components for Kubeflow Pipelines.
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