From c96542bd2f2c79e5f747cb4a207089427b0c05d1 Mon Sep 17 00:00:00 2001
From: Tom Corcoran <tnscorcoran@gmail.com>
Date: Thu, 20 Jun 2024 09:47:37 +1000
Subject: [PATCH] Updates to docs

---
 data/hackathon/scenario2.mdx |  3 ++-
 data/hackathon/scenario4.mdx | 42 +++++++++++++++++++++++++++++++++---
 2 files changed, 41 insertions(+), 4 deletions(-)

diff --git a/data/hackathon/scenario2.mdx b/data/hackathon/scenario2.mdx
index 4093dc8..7a0b0bf 100644
--- a/data/hackathon/scenario2.mdx
+++ b/data/hackathon/scenario2.mdx
@@ -41,7 +41,8 @@ You'll know this is complete using the following command
 oc get node -l nvidia.com/gpu.present
 ```
 
-
+Documentation you may find helpful is:
+- 
 
 
 ## 2.3 - Check your work
diff --git a/data/hackathon/scenario4.mdx b/data/hackathon/scenario4.mdx
index c367b12..b744bea 100644
--- a/data/hackathon/scenario4.mdx
+++ b/data/hackathon/scenario4.mdx
@@ -17,19 +17,55 @@ As the pre-sales team, you've offered to show how this is done.
 
 ## 4.1 - Review notebook requiring custom Python library with in an existing workbench
 Fire up an OpenShift AI workbench, using the `Standard Data Science` base image and launch/run the Notebook https://github.com/odh-labs/hackathon/blob/main/temp/scenario4_open_innovation/custom-image.ipynb
-You see it fails due to missing mibrary pypdf
+You see it fails due to missing library pypdf
 
 
 ## 4.2 - Build custom workbench image
-Your first task after reviewing the failing scenario to build a custom image and deploy it as am Image Stream into the cluster (it should go in the redhat-ods-applications)
+Your first task after reviewing the failing scenario to build a custom workbench image on the ACME Financial Services On Premises cluster via a `BuildConfig`.  
+
+You have 2 options 
+1) Use a Build Config and push the image as an Image Stream into the  redhat-ods-applications  namespace
+2) Use Podman to build a container locally and push to Internal OpenShift Container Registry
+
+Your custom image name should be `acme-workbench-ai-custom`
 
 Documentation you may find helpful is:
 - https://github.com/red-hat-data-services/notebooks
 - https://docs.openshift.com/container-platform/4.15/cicd/builds/understanding-buildconfigs.html
+- https://github.com/opendatahub-io-contrib/workbench-images
+
+
+## 4.3 - Ensure Image is present in the Internal OpenShift Container Registry
+After building an image, you'll need to ensure the image is present in the Internal OpenShift Container Registry.
+
+Documentation you may find helpful is:
+- https://docs.openshift.com/container-platform/4.15/registry/index.html
 - https://docs.openshift.com/container-platform/4.15/openshift_images/image-streams-manage.html
 
+TODO Add screenshots
+
+## 4.4 - Verify image is imported into OpenShift AI
+Your newly imported image should be visible in the `Image selection` dropdown within the Workbench tab inside your OpenShift AI 
+
+TODO Add screenshots
 
+## 4.5 - Check your work
+If your ACME Financial Services custom image  `acme-workbench-ai-custom` is available in the dropdownplease post a screenshot of it to  #event-anz-ai-hackathon with the message:
+
+Please review [team name] solution for exercise 4.
+
+This exercise is worth 25 points. The event team will reply in slack to confirm your updated team total score.
+
+
+TODO PULL all Check your work sections from https://github.com/jmhbnz/workshops/blob/main/data/workshop/scenario1.mdx
 
 
 HINTS
-[4.2] SOlution to 
+[4.2.1] TODO - move the contents of this repo to the final github location:
+Solution via Helm Chart is available here: https://github.com/butler54/rhoai-custom-image
+
+            TODO - MOVE TO DOCS:
+            oc project redhat-ods-applications
+            helm install myimage ./helm
+
+