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KubeflowDojo

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo

Install / Use

/learn @IBM/KubeflowDojo
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Kubeflow Dojo

Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo. In this Dojo, we are going to address how to make it easy for everyone to develop, deploy, and manage portable, scalable ML everywhere and support the full lifecycle Machine Learning using Kubeflow. We are going to discuss how to deploy and manage Kubeflow, and detail how to enable distributed training of models, model serving, canary rollouts, drift detection, model explainability, metadata management, pipelines and others.

To enable developers who want to use it at their own pace, pre-recorded sessions are uploaded. For those who prefer live interactions, we will be running the sessions and workshops live.

Read about IBM's journey with Kubeflow here

kubeflow-dojo

Virtual Schedule and Prereqs

When: Virtual. Day One and Day Two

Day One End to end presentation and walk through on Kubeflow, followed by detailed deep dive and hands on deploying Kubeflow to Minikube and/or IBM Cloud Kubernetes Service (IKS).

Day Two Deeper dive sessions and demos on Kubeflow Pipelines, KServe, Distributed Training Operators and HPO, and Kubeflow PR workflow

The Kubeflow Slack workspace is kubeflow.slack.com. To join, click this invitation to Kubeflow Slack workspace. There is a channel #kubeflow-dojo created for the workshop.

Prereqs: Please look at prereqs here

Note: For Pipelines, we are using Kubeflow Pipelines with Tekton in this workshop

Date: Day One

|Topic|Presenter|Links| |---|---|---| Trusted and Responsible AI through Open Source |Animesh|Video| |Basics of Git and Github|Morgan Bauer|Slides<br>Video| |Kubeflow - End to end ML on Kubernetes|Animesh|Kubeflow End to End<br>Video<br>中文字幕视频| |Kubeflow Development Environment|Weiqiang|Slides<br>Video| |Kubeflow Control Plane deep dive|Weiqiang|Slides<br>Video<br>中文PPT<br>中文视频| |Kubeflow Deployment Hands On|Weiqiang, Shawn, Tommy|Deployment on IKS<br>Deployment on minikube<br>Video| |Tryout Kubeflow Components |Tommy| Hands On Notebook<br>Video| |

Recordings for live sessions: Kubeflow Dojo Day One Playlist

<hr>

Date: Day Two

|Topic|Presenter|Links| |---|---|---| |Overview of Kubeflow repos|Tommy|Slides<br>Video| |Kubeflow Pipelines deep dive|Animesh, Tommy, Christian|Slides<br>Video| |Kubeflow Pipelines-Tekton hands on| Christian Kadner, Tommy Li|KFP with Tekton<br>Video| |KFServing deep dive|Animesh, Tommy|Slides<br>Video<br>中文视频<br>Demo| |Distributed Training and HPO Deep Dive |Andrew, Kevin, Animesh|Slides<br>Video<br>中文视频| |Kubeflow PR workflow|Weiqiang|Slides<br>Video| |PR workflow handson||PR workflow<br>Video| |Upgrading Kubeflow||Readme (KF 1.2 to 1.3)<br>

Recordings for live sessions: Kubeflow Dojo Day Two Playlist

View on GitHub
GitHub Stars134
CategoryDevelopment
Updated2mo ago
Forks61

Languages

Jupyter Notebook

Security Score

100/100

Audited on Jan 27, 2026

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