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 Kuebflow here

When: July 15th and 16th. All times listed are in PST time zone

Wed July 15, 2020: 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).

Thu July 16, 2020: Deeper dive sessions and demos on Kubeflow Pipelines, Kubeflow Serving (KFServing), Distributed Training Operators and HPO, and Kubeflow PR workflow

Where: Please register at the following link: http://ibm.biz/KubeflowDojo

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

Date: Wed July 15, 2020

Date: Thu July 16, 2020