Amazon EKS Workshop > Advanced > Machine Learning using Kubeflow
Machine Learning using Kubeflow
Kubeflow provides a simple, portable, and scalable way of running Machine Learning workloads on Kubernetes.
In this module, we will install Kubeflow on Amazon EKS, run a single-node training and inference using TensorFlow, train and deploy model locally and remotely using Fairing, setup Kubeflow pipeline and review how to call AWS managed services such as Sagemaker for training and inference.
