mlops-enterprise-template | Please visit the following repository

An Azure service principal needs to be generated. Just go to the Azure Portal to find the details of your resource group. Then start the Cloud CLI or install the Azure CLI on your computer and execute the following command to generate the required credentials:.
Github workflows are triggered based on events specified inside workflows. These events can be from inside the github repo like a push commit or can be from outside like a webhook(repository-dispatch). Refer link for more details on configuring your workflows to run on specific events. We have precreated a GitHub workflow setup.yml that does the infrastructure creation. To trigger this workflow follow the below steps-. Check the actions tab to view if your workflows have successfully run. We have created sample workflow file deploy_model that gets triggered on repository dispatch event machinelearningservices-runcompleted as defined here . This workflow deploys trained model to azure kubernetes. If you add this repository dispatch event machinelearningservices-runcompleted in other workflows, they will also start listening to the machine learning workspace events from the subscribed workspace.
Update parameter 'resource_group' value in file workspace.json to your resource group name.
Update environment variable 'RESOURCE_GROUP' in setup.yml workflow. Make sure your resource group name in workspace.json is same as that in setup.yml. Committing this file will trigger this workflow and do the required setup.