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Codelabs, Workshops, and Tutorials
Agile Stacks Kubeflow Pipelines tutorials
Run Kubeflow Pipelines tutorials on AWS, GCP, or on-prem hardware using Agile Stacks. Pipeline templates provide step-by-step examples for working with object storage filesystem, Kaniko, Keras, and Seldon.
Google Developers Codelabs provide a guided, tutorial, hands-on coding experience.
Introduction to Kubeflow on GKE: Run MNIST with Kubeflow on Google Kubernetes Engine (GKE).
Kubeflow End to End - GitHub Issue Summarization: Run GitHub Issue Summarization with Kubeflow on GKE.
Kubeflow Pipelines - GitHub Issue Summarization: Run GitHub Issue Summarization with Kubeflow Pipelines on GKE.
From Notebook to Kubeflow Pipelines with MiniKF and Kale: Run an end-to-end ML workflow all the way from a Notebook to a reproducible multi-step pipeline with Kale on MiniKF.
Follow the Katacoda tutorials to deploy Kubeflow and run a machine learning model.
- Deploying GitHub Issue Summarization with Kubeflow.
- Deploying Kubeflow.
- Deploying Kubeflow with ksonnet.
- Deploying Pytorch with Kubeflow.
OpenShift Kubeflow workshops
Run Kubeflow on Red Hat OpenShift.
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