Mastering AI / ML with OpenShift
Learn how to get started on your machine learning journey with OpenShift. You'll learn more about technologies like Jupyter notebooks, JupyterHub, Prometheus, and more.
Learn how to get started on your machine learning journey with OpenShift. You'll learn more about technologies like Jupyter notebooks, JupyterHub, Prometheus, and more.
Learn how to deploy Jupyter notebooks in OpenShift and how to best make use of its functionality.
Learn how you can build a custom container image which incorporates a set of Jupyter notebooks and the packages they require, and deploy the image to OpenShift.
Learn how you can deploy a workspace for working on Jupyter notebooks which is backed by persistent storage, ensuring that any changes made to your notebook files, and more.
Learn how you can deploy JupyterHub, to create a service for providing Jupyter notebooks to multiple users at the same time.
Learn how you can provide persistent workspaces for multiple users, for working on Jupyter notebooks, using JupyterHub.
Learn about using the Prometheus API Client for Python to collect and manipulate Prometheus metric Time-Series data.