From 7b086d701a3f4a59b91059ab8204affa8c93d60c Mon Sep 17 00:00:00 2001 From: Sarah Maddox Date: Wed, 31 Jul 2019 15:22:20 +1000 Subject: [PATCH] Fixed links to tutorials and codelabs. (#1003) --- content/docs/examples/codelabs-tutorials.md | 67 +++++++++++---------- content/docs/started/getting-started.md | 26 +------- 2 files changed, 37 insertions(+), 56 deletions(-) diff --git a/content/docs/examples/codelabs-tutorials.md b/content/docs/examples/codelabs-tutorials.md index 25c5a411db..fb2aebcffd 100644 --- a/content/docs/examples/codelabs-tutorials.md +++ b/content/docs/examples/codelabs-tutorials.md @@ -1,41 +1,42 @@ +++ 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 +++ -{{% 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 -{{% 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 %}} - -{{% 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 %}} - -{{% 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 %}} - -{{% 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 %}} - -{{% 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 %}} - -{{% 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 %}} + +* [ML Pipeline Templates: End-to-end Tutorial](https://www.agilestacks.com/tutorials/ml-pipelines). + +## Google codelabs + +Google Developers Codelabs provide a guided, tutorial, hands-on coding experience. + +* [Introduction to Kubeflow on GKE](https://codelabs.developers.google.com/codelabs/kubeflow-introduction/index.html): Run MNIST with Kubeflow on Google Kubernetes Engine (GKE). + +* [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. + +* [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. + +## Katacoda scenarios + +Follow the [Katacoda tutorials](https://www.katacoda.com/kubeflow) to deploy Kubeflow and run a machine learning model. + +* [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). + +## OpenShift Kubeflow workshops + +Run Kubeflow on [Red Hat OpenShift](https://www.openshift.com/). + +* [Kubeflow on OpenShift Workshop](https://github.com/AICoE/openshift_kubeflow_workshop). diff --git a/content/docs/started/getting-started.md b/content/docs/started/getting-started.md index e3e1c61c41..144f17506c 100644 --- a/content/docs/started/getting-started.md +++ b/content/docs/started/getting-started.md @@ -113,28 +113,8 @@ See the [Kubeflow troubleshooting guide](/docs/other-guides/troubleshooting/). ## Next steps -* See the [documentation](/docs/) for in-depth instructions on using Kubeflow. +* Read the [documentation](/docs/) for in-depth instructions on using Kubeflow. +* Explore the [tutorials and + codelabs](/docs/examples/codelabs-tutorials/) for learning and trying out Kubeflow. * Build machine-learning pipelines with the [Kubeflow Pipelines SDK](/docs/pipelines/sdk/sdk-overview/). -* Explore the self-paced scenarios for learning and trying out Kubeflow: - * [Codelabs](https://codelabs.developers.google.com/?cat=tensorflow) - * [Introduction to Kubeflow on Google Kubernetes - Engine](https://codelabs.developers.google.com/codelabs/kubeflow-introduction/index.html) - * [Kubeflow End to End: GitHub Issue - Summarization](https://codelabs.developers.google.com/codelabs/cloud-kubeflow-e2e-gis/index.html) - * [Kubeflow Pipelines: GitHub Issue - Summarization](https://codelabs.developers.google.com/codelabs/cloud-kubeflow-pipelines-gis/index.html) - * [Katacoda](https://www.katacoda.com/kubeflow) - * [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) - * [Qwiklabs](https://qwiklabs.com/catalog?keywords=kubeflow) - * [Introduction to Kubeflow on Google Kubernetes - Engine](https://qwiklabs.com/focuses/960?locale=en&parent=catalog) - * [Kubeflow End to End: GitHub Issue - Summarization](https://qwiklabs.com/focuses/1257?locale=en&parent=catalog)