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.
Lesson
Deploy a Jupyter notebook image
15 minutes | Beginner
Learn how to deploy Jupyter notebooks in OpenShift and how to best make use of its functionality.
Lesson
Build custom notebook images
15 minutes | Beginner
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.
Lesson
Deploy workspaces on Jupyter notebooks
15 minutes | Beginner
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.
Lesson
Deploy JupyterHub
15 minutes | Intermediate
Learn how you can deploy JupyterHub, to create a service for providing Jupyter notebooks to multiple users at the same time.
Lesson
Provide multi-user workspaces
20 minutes | Intermediate
Learn how you can provide persistent workspaces for multiple users, for working on Jupyter notebooks, using JupyterHub.
Lesson
Explore the Prometheus API client
15 minutes | Beginner
Learn about using the Prometheus API Client for Python to collect and manipulate Prometheus metric Time-Series data.