deploy, train and monitor AI/ML model in databricks in automated way.
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3 weeks ago
Hi Team,
I have my databricks environment where I want to deploy, train and monitor ML model in automated way(github action). How I can do that?
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3 weeks ago
Hi there @ncparab13,
- https://docs.databricks.com/aws/en/dev-tools/bundles/mlops-stacks ,
- https://docs.databricks.com/aws/en/machine-learning/mlops/ci-cd-for-ml ,
- https://docs.databricks.com/aws/en/repos/ci-cd-techniques-with-repos
Here are some link which can be helpful there are multiple ways you can achieve this - either databricks asset bundles , or direct git folders etc. You can have a look in this these docs and decide what's best for your usecase.
We at our org generally use databricks asset bundles for all deployments purposes for ml model as well and it can be integrated with your github actions.
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3 weeks ago
Thanks @ashraf1395 . I will take a look into it

