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added instructions for partner classroom
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rsriniva committed Jan 9, 2024
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Expand Up @@ -22,26 +22,17 @@ The PTL team acknowledges the valuable contributions of the following Red Hat as
* Sara Banderby
* Ravi Srinivasan

== Classroom Environment
== Classroom Environment for Red Hat Associates

There are two options, based on whether you are taking this course standalone (just this course), or as part of the full *five* course learning path where you installed RHOAI on an OpenShift cluster in the second course in the learning path, _Red Hat OpenShift AI Administration_.
Continue using the https://demo.redhat.com/catalog?search=Red+Hat+OpenShift+Container+Platform+4.13+Workshop&item=babylon-catalog-prod%2Fopenshift-cnv.ocp413-wksp-cnv.prod[Red Hat OpenShift Container Platform 4.13 Workshop] classroom that you provisioned in the _Red Hat OpenShift AI Administration_ course.

=== Option 1: Standalone (RHOAI Pre-installed on OpenShift)
You are expected to complete the _Red Hat OpenShift AI Administration_ course, where you install and configure a basic RHOAI instance, and then continue with this course.

You will use the https://demo.redhat.com/catalog?search=openshift+data+science&item=babylon-catalog-prod%2Fsandboxes-gpte.ocp4-workshop-rhods-base-aws.prod[Base RHODS on AWS] catalog item in the Red Hat Demo Platform (RHDP) to run the hands on exercises in this course.
== Classroom Environment for Red Hat Partners

This classroom has a pre-installed version of Red Hat OpenShift AI on OpenShift.
Red Hat partners should continue to use the Red Hat OpenShift AI cluster provisioned in the _Red Hat OpenShift AI Administration_ course, using the Red Hat Hybrid Cloud Console at https://console.redhat.com/openshift/overview.

=== Option 2: Five Course Learning Path

Continue using the https://demo.redhat.com/catalog?search=Red+Hat+OpenShift+Container+Platform+4.13+Workshop&item=babylon-catalog-prod%2Fopenshift-cnv.ocp413-wksp-cnv.prod[Red Hat OpenShift Container Platform 4.13 Workshop] catalog item from the _Red Hat OpenShift AI Administration_ course.

[TIP]
====
To prevent problems when allocating the workbench pods, make sure that your catalog item has been configured with `64Gi` as the worker memory size.
====

This classroom does *NOT* have RHOAI pre-installed. You are expected to complete the _Red Hat OpenShift AI Administration_ course, where you install and configure a basic RHOAI instance, and then continue with this course.
You are expected to complete the _Red Hat OpenShift AI Administration_ course, where you install and configure a basic RHOAI instance, and then continue with this course.

== Prerequisites

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