Jenkins Pipeline about mlops-v2

[setuc]

Yes, they are certainlyy doable. You can make use of the CLI v2 / SDK to run through these pipelines. The key requirement of this is going to be working with Azure Service Principal. If you look at either of the getting started documentation with Azure DevOps (ADO) or GitHub Actions (GHA), you will notice that we use service principal to authenticate Link

Once you have authenticated, you can run any azure CLI command. We store the secret appropriately. Here is one example to deploy WebApp with Jenkins on Azure. so Instead of WebApp, you can deploy the training/deployment configurations on AzureML.

You can alternatively use Managed Identity for authentication while working with Python Code. You can follow numerous examples of authenticating with Azure Identity package. One such reference would cann be found here . Don't use InteractiveAuthentication in the MLOPs pipeline.