Updated README

README.md

@@ -1,5 +1,25 @@
-# computate
+# The computate platform
+
 Code that generates more code as you save. Internationalized. Integrated with Solr search. A new way to write code to make persistence easier. 
 
-# Regenerate the mvn dependency file: 
-mvn dependency:build-classpath -Dmdep.outputFile=config/cp.txt
+## Try out the AI/ML Smart Device API Code Generation yourself
+
+Try out the computate platform yourself
+
+You can do AI/ML Smart Device API Code Generation with computate in your own OpenShift 
+cluster by following the [Smart Device API Code Generation with AI/ML hackathon course](https://github.com/smartabyar-smartvillage/smart-device-api-generation-hackathon): 
+
+- You'll need access to a Red Hat OpenShift cluster. 
+- Ask your OpenShift Admins to install OpenShift AI and the [vscode-java ImageStream here](https://github.com/nerc-images/vscode-java/blob/main/cluster-scope/base/image.openshift.io/imagestreams/vscode-java/imagestream.yaml)
+- Then follow the Jupyter notebooks in this course, starting with 
+  [01-install-prerequisites.ipynb](https://github.com/smartabyar-smartvillage/smart-device-api-generation-hackathon/blob/main/01-install-prerequisites.ipynb). 
+
+For an introduction to OpenShift and the Smart Village Platform built with the 
+computate platform, follow our [free course we developed to deploy a working 
+Edge-to-Cloud Learning Experience with computate](https://github.com/smartabyar-smartvillage/smartabyar-smartvillage-sandbox-course). It will guide you through launching a free 
+Red Hat OpenShift Developer Sandbox
+environment, deploying the same FIWARE and Smart Village components as the
+Smart Device API Code Generation with AI/ML hackathon course, 
+and teaches how to build a new Python microservice that animates
+simulated traffic data on maps over time.
+