Codelabs, Workshops, and Tutorials

Recommended end-to-end tutorials, workshops, walk throughs, and codelabs

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.

• ML Pipeline Templates: End-to-end Tutorial.

Google codelabs

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 IssueSummarization: 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.

Katacoda scenarios

Follow the Katacoda tutorials to deploy Kubeflow and run a machine learning model.

• Deploying GitHub Issue Summarization withKubeflow.
• DeployingKubeflow.
• Deploying Kubeflow withksonnet.
• Deploying Pytorch withKubeflow.

OpenShift Kubeflow workshops

Run Kubeflow on Red Hat OpenShift.

• Kubeflow on OpenShift Workshop.