IBM/KubeflowDojo
Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
| repo name | IBM/KubeflowDojo |
| repo link | https://github.com/IBM/KubeflowDojo |
| homepage | |
| language | Jupyter Notebook |
| size (curr.) | 108634 kB |
| stars (curr.) | 82 |
| created | 2020-06-11 |
| license | Apache License 2.0 |
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
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, Kubeflow Serving (KFServing), 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 | SlidesVideo |
| Kubeflow - End to end ML on Kubernetes | Animesh | Kubeflow End to EndVideo |
| Kubeflow Development Environment | Weiqiang | SlidesVideo |
| Kubeflow Control Plane deep dive | Weiqiang | SlidesVideo中文PPT中文视频 |
| Kubeflow Deployment Hands On | Weiqiang, Shawn, Tommy | Deployment on IKSDeployment on minikubeVideo |
| Tryout Kubeflow Components | Tommy | Hands On NotebookVideo |
Recordings for live sessions: Kubeflow Dojo Day One Playlist
Date: Day Two
| Topic | Presenter | Links |
|---|---|---|
| Overview of Kubeflow repos | Tommy | SlidesVideo |
| Kubeflow Pipelines deep dive | Animesh, Tommy, Christian | SlidesVideo |
| Kubeflow Pipelines-Tekton hands on | Christian Kadner, Tommy Li | KFP with TektonVideo |
| KFServing deep dive | Animesh, Tommy | SlidesVideoDemo |
| Distributed Training and HPO Deep Dive | Andrew, Kevin, Animesh | SlidesVideo |
| Kubeflow PR workflow | Weiqiang | SlidesVideo |
| PR workflow handson | PR workflowVideo |
Recordings for live sessions: Kubeflow Dojo Day Two Playlist
