Doc updates for doc issues found in v2.20 (#95)

* rhoai-25155 fix model deploy mode

* doc-update for issue 94

* rhoai-26965 address peer review findings

* Revert "rhoai-25155 fix model deploy mode"

This reverts commit 3afaf61.

* doc-updates-2.20 minor updates

Author: MelissaFlinn

workshop/docs/modules/ROOT/assets/images/pipelines/wb-pipeline-launcher.png

@@ -6,6 +6,9 @@
 [.text-center.strong]
 == Introduction
 
+:rhoai-version: main (the latest)
+// for the downstream tutorial, change the value of rhoai-version to match the git-version value in the importing-files-into-jupyter.adoc file
+
 Welcome. In this {deliverable}, you learn how to incorporate data science and artificial intelligence and machine learning (AI/ML) into an OpenShift development workflow.
 
 You use an example fraud detection model to complete the following tasks in https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai[{productname-long}] without the need to install anything on your computer:
@@ -27,14 +30,26 @@ Based on this data, the model outputs the likelihood of the transaction being fr
 
 == Before you begin
 
-You should have access to an OpenShift cluster where {productname-long} is installed. 
-
-If don't have access to a cluster that includes an instance of {productname-short}, see the https://developers.redhat.com/products/red-hat-openshift-ai/download[{productname-long} page on the {org-name} Developer website]. There, you can create an account and access the https://console.redhat.com/openshift/sandbox[*free {org-name} Developer Sandbox*] or you can learn how to install {productname-short} on *your own OpenShift cluster*.
-
-
+* You must have access to an OpenShift cluster where {productname-long} is installed. 
++
+If you do not have access to a cluster that includes an instance of {productname-short}, see the https://developers.redhat.com/products/red-hat-openshift-ai/download[{productname-long} page on the {org-name} Developer website]. There, you can create an account and access the https://console.redhat.com/openshift/sandbox[*free {org-name} Developer Sandbox*] or you can learn how to install {productname-short} on *your own OpenShift cluster*.
++
 [IMPORTANT]
 ====
 If your cluster uses self-signed certificates, before you begin the {deliverable}, your {productname-short} administrator must add self-signed certificates for {productname-short} as described in link:https://docs.redhat.com/en/documentation/red_hat_openshift_ai_self-managed/latest/html/installing_and_uninstalling_openshift_ai_self-managed/working-with-certificates_certs[Working with certificates^] (Self-Managed) or link:https://docs.redhat.com/en/documentation/red_hat_openshift_ai_cloud_service/1/html/installing_and_uninstalling_openshift_ai_cloud_service/working-with-certificates_certs[Working with certificates^] (Cloud Service).
 ====
 
+* Make sure that the version of this tutorial matches the {productname-short} version on your cluster.
++
+{productname-long} {rhoai-version} is the version described in this {deliverable}.
++
+. To find the {productname-short} version for your cluster:
+.. Log in to the {productname-short} dashboard.
+.. In the top navigation bar, click the help icon (image:projects/rhoai-help-icon.png[Help icon]) and then select *About*.
++
+The *About* page shows the installed version.
+. Check the link:https://access.redhat.com/articles/rhoai-supported-configs[{productname-long} Supported Configurations] page to verify that your installed version is a supported version.
+
+. If this version of the tutorial does not match the installed version, access the matching version of the tutorial by navigating to the link:https://docs.redhat.com/en/documentation/red_hat_openshift_ai_self-managed[top-level {productname-long} documentation page] and selecting the matching version from the drop-down list.
+
 If you're ready, xref:navigating-to-the-dashboard.adoc[start the {deliverable}].

workshop/docs/modules/ROOT/assets/images/projects/rhoai-help-icon.png

@@ -7,7 +7,7 @@
 
 ** *If you are using the {org-name} Developer Sandbox*:
 +
-After you log in to the Sandbox, click *Getting Started* -> *Available services*, and then, in the {productname-long} card, click *Launch*.
+After you log in to the Sandbox, in the {productname-long} card, click *Launch*.
 +
 image::projects/sandbox-rhoai-tile.png[{productname-short} dashboard link]
 

workshop/docs/modules/ROOT/assets/images/projects/sandbox-rhoai-tile.png

@@ -5,21 +5,19 @@ To implement a data science workflow, you must create a data science project (as
 
 .Prerequisites
 
-Before you begin, log in to *{productname-long}*.
+* You have logged in to *{productname-long}*.
 
 .Procedure
 
-. On the navigation menu, select *Data science projects*. This page lists any existing projects that you have access to. From this page, you can select an existing project (if any) or create a new one.
+. On the navigation menu, select *Data science projects*. This page lists any existing projects that you have access to.
+
+. *If you are using the {org-name} Developer Sandbox*, it provides a default data science project (for example, `myname-dev`). Select it and skip to the *Verification* section.
 +
-image::projects/launch-jupyter-link.png[Launch Jupyter link]
+*If you are using your own OpenShift cluster*, you can select an existing project (if any) or create a new one. Click *Create project*. 
 +
 NOTE: It is possible to start a Jupyter notebook by clicking the *Launch standalone workbench* button, selecting a notebook image, and clicking *Start server*. However, it would be a one-off Jupyter notebook run in isolation.
 
-. If you are using your own OpenShift cluster, click *Create project*. 
-+
-NOTE: If you are using the {org-name} Developer Sandbox, you are provided with a default data science project (for example, `myname-dev`). Select it and skip over the next step to the *Verification* section.
-
-. Enter a display name and description.
+. In the *Create project* modal, enter a display name and description.
 +
 image::projects/ds-project-new-form.png[New data science project form, 600]