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Fixed links to tutorials and codelabs. (#1003)
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title = "Codelabs, Workshops, and Tutorials" | ||
description = "Recommended end-to-end tutorials, workshops, walk-throughs, and codelabs" | ||
description = "Recommended end-to-end tutorials, workshops, walk throughs, and codelabs" | ||
weight = 20 | ||
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{{% blocks/content-item title="OpenShift Kubeflow Workshop" | ||
url="https://github.com/AICoE/openshift_kubeflow_workshop" %}} | ||
Run Kubeflow on Red Hat [OpenShift](https://www.openshift.com/). | ||
{{% /blocks/content-item %}} | ||
## Agile Stacks Kubeflow Pipelines tutorials | ||
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{{% blocks/content-item title="Agile Stacks Kubeflow Pipelines Tutorial" | ||
url="https://www.agilestacks.com/tutorials/ml-pipelines" %}} | ||
Run Kubeflow Pipelines tutorials on AWS, GCP, or on-prem hardware using [Agile Stacks](https://www.agilestacks.com/). | ||
Pipeline templates provide step-by-step examples for working with object storage filesystem, Kaniko, Keras, and Seldon. | ||
{{% /blocks/content-item %}} | ||
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{{% blocks/content-item title="Katacoda scenarios" | ||
url="https://www.katacoda.com/kubeflow" %}} | ||
Follow the tutorials to deploy Kubeflow and run a machine learning model. | ||
{{% /blocks/content-item %}} | ||
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{{% blocks/content-item title="Introduction to Kubeflow Codelab" | ||
url="https://codelabs.developers.google.com/codelabs/kubeflow-introduction/index.html" %}} | ||
Run MNIST with Kubeflow on Google Kubernetes Engine. | ||
{{% /blocks/content-item %}} | ||
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{{% blocks/content-item title="Introduction to Kubeflow Qwiklab" | ||
url="https://www.qwiklabs.com/catalog_lab/933" %}} | ||
Run MNIST with resources provided by Qwiklabs. | ||
{{% /blocks/content-item %}} | ||
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{{% blocks/content-item title="Kubeflow End to End Codelab" | ||
url="https://codelabs.developers.google.com/codelabs/cloud-kubeflow-e2e-gis/index.html" %}} | ||
Run GitHub Issue Summarization with Kubeflow on Google Kubernetes Engine. | ||
{{% /blocks/content-item %}} | ||
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{{% blocks/content-item title="Kubeflow End to End Qwiklab" | ||
url="https://www.qwiklabs.com/catalog_lab/1046" %}} | ||
Run GitHub Issue Summarization with resources provided by Qwiklabs. | ||
{{% /blocks/content-item %}} | ||
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* [ML Pipeline Templates: End-to-end Tutorial](https://www.agilestacks.com/tutorials/ml-pipelines). | ||
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## Google codelabs | ||
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Google Developers Codelabs provide a guided, tutorial, hands-on coding experience. | ||
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* [Introduction to Kubeflow on GKE](https://codelabs.developers.google.com/codelabs/kubeflow-introduction/index.html): Run MNIST with Kubeflow on Google Kubernetes Engine (GKE). | ||
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* [Kubeflow End to End - GitHub Issue Summarization](https://codelabs.developers.google.com/codelabs/cloud-kubeflow-e2e-gis/): Run GitHub Issue Summarization with Kubeflow on GKE. | ||
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* [Kubeflow Pipelines - GitHub Issue | ||
Summarization](https://codelabs.developers.google.com/codelabs/cloud-kubeflow-pipelines-gis/index.html): Run GitHub Issue Summarization with Kubeflow Pipelines on GKE. | ||
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## Katacoda scenarios | ||
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Follow the [Katacoda tutorials](https://www.katacoda.com/kubeflow) to deploy Kubeflow and run a machine learning model. | ||
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* [Deploying GitHub Issue Summarization with | ||
Kubeflow](https://www.katacoda.com/kubeflow/scenarios/deploying-github-issue-summarization). | ||
* [Deploying | ||
Kubeflow](https://www.katacoda.com/kubeflow/scenarios/deploying-kubeflow). | ||
* [Deploying Kubeflow with | ||
ksonnet](https://www.katacoda.com/kubeflow/scenarios/deploying-kubeflow-with-ksonnet). | ||
* [Deploying Pytorch with | ||
Kubeflow](https://www.katacoda.com/kubeflow/scenarios/deploy-pytorch-with-kubeflow). | ||
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## OpenShift Kubeflow workshops | ||
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Run Kubeflow on [Red Hat OpenShift](https://www.openshift.com/). | ||
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* [Kubeflow on OpenShift Workshop](https://github.com/AICoE/openshift_kubeflow_workshop). |
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