Hi @Betul, I think that there are different ways but it really depends on what do you mean by different models and versions.
One simple option is to use Databricks Asset Bundles to create multiple workflows (one for each model) and use the champion-challenger approach to make sure that your new model version is only deployed if it beats the current deployed version. The workflows can be run in parallel (if you're using Github actions you can employ a matrix workload for that).
If you elaborate mode on your use case I can try to help you further.
