Databricks Model Serving (ops) plus MLflow model development (dev): manage serving endpoints, train and register models to Unity Catalog with @prod aliases, batch-score via spark_udf, build custom PyFunc /…
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name: Databricks Model Serving
description: Databricks Model Serving (ops) plus MLflow model development (dev): manage serving endpoints, train and register models to Unity Catalog with @prod aliases, batch-score via spark_udf, build custom PyFunc /…
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# Databricks Model Serving
Part of the **Databricks Stable Agent Skills** pack by Databricks (`databricks/databricks-agent-skills`).
Databricks Model Serving (ops) plus MLflow model development (dev): manage serving endpoints, train and register models to Unity Catalog with @prod aliases, batch-score via spark_udf, build custom PyFunc /…
This catalog entry summarizes the skill for discovery. Get the full skill — including any bundled scripts and resources — from the source:
Full skill & source: https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving
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