Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities.
Databricks
13 skills in the catalog
13 skills
Databricks · ML/AI Engineering
Train ML or custom-agent models on Databricks with MLflow tracking and Unity Catalog registration.
30 stable skills covering Lakeflow jobs and pipelines, Lakebase, model serving, vector search, Agent Bricks, Unity Catalog, MLflow evaluation, and dashboards
Databricks CLI operations and the parent/entry-point skill for Databricks CLI use: authentication, profile selection, and bundles.
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.
Create Databricks AI/BI dashboards.
Databricks · ML/AI Engineering
Databricks Model Serving endpoint lifecycle and ops.
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks.
Unity Catalog governance, access control, and observability.
Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles).
Databricks · ML/AI Engineering
Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns
Databricks · ML/AI Engineering
MLflow 3 GenAI agent evaluation.
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API.