Kubeflow is an OSS machine learning stack that runs on Kubernetes. The Kubeflow project is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.
In this workshop, you will learn how to install and use Kubeflow, including Kubeflow Pipelines, to support an end-to-end ML workflow.
During the workshop, you'll install Kubeflow from scratch, see how to use Kubeflow's multi-user Jupyter notebook servers and other core components, and build and run Kubeflow Pipelines that support full ML workflows, using both the Pipelines UI and its SDK. In the process, we'll look at how you can use logging, metrics and visualizations, and metadata/artifact tracking, to support ML workflow evaluation and reproducibility.
How to Register: Pre-registration is required. To
register for Google OSS Hands-on Workshop - KubeFlow (MLOps), add it on during your KubeCon + CloudNativeCon registration.
For questions regarding this event, please reach out to
jamierachel@google.com.
