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.
Lesson
Build s2i with Thoth Advise
40 minutes | Intermediate
Learn about the Thoth s2i build process, and then discover how to build a simple Python app using Thoth s2i.
Lesson
Build s2i with Thoth Provenance
40 minutes | Intermediate
Build a simple Python app using Thoth s2i build process and Thoth's provenance check for a structured report on issues found in the application stack.
Lesson
Run Thamos Advise with Thamos CLI
40 minutes | Intermediate
Use the Thamos command-line interface (CLI) to run Thamos Advise on a simple TensorFlow Python app.