Ever thought of doing a cloud-native AI work? What does that even mean? This workshop will introduce you to running AI related services like Spark, Seldon or JupyterLab, Kubeflow Pipelines with Argo or Tekton on Kubernetes as part of Open Data Hub. You will learn how to move your AI workloads to the cluster and implement a basic data science workflow. We will show you how to use Jupyterlab and its extensions, interact with Kubeflow Pipelines and deploy an inference application adopting some of the best practices that we’ve developed over time.
This workshop will introduce people to many of the open source projects available for AI services. In particular, how Open Data Hub project running on Kubernetes bring benefits to the different personas (e.g. data engineer, data scientists, developers) involved in the development of the an AI application.
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