Creating agentic AI to deploy ARO cluster using Terraform with Red Hat OpenShift AI on ARO and Azure OpenAI

Learn how to create an artificial intelligence (AI) that can deploy Microsoft Azure Red Hat® OpenShift® clusters using Terraform. Explore prompt-based infrastructure and how it can be used to maintain clusters in your own environment.

Learn how to create an artificial intelligence (AI) that can deploy Microsoft Azure Red Hat® OpenShift® clusters using Terraform. Explore prompt-based infrastructure and how it can be used to maintain clusters in your own environment.

Next steps after creating Agentic AI to deploy ARO clusters using Terraform with Red Hat OpenShift AI

Congratulations! You have successfully created an Agentic AI for use in your environment. This AI paired with Red Hat® OpenShift® AI, Azure Red Hat OpenShift, and Terraform will now work to keep track of its own clusters.

After completing this tutorial, you now have:

  • A working agentic AI model integrated with your Azure environment
  • Working knowledge of creating and destroying clusters using agentic AI

What comes next?

Next, learn how to run other Large Language Models (LLMs) using Red Hat OpenShift AI on Amazon Web Services. 

Keep learning

Previous resource
Notebook integration

This learning path is for operations teams or system administrators

Developers may want to check out Getting started with Red Hat OpenShift AI on developers.redhat.com. 

Get started on developers.redhat.com

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