Uploaded March 2026 | Updated September 2026, 2 weeks ago
In this demo, Gal Oshri, Product Manager at Databricks, shows how Genie Code acts as an autonomous AI agent for data engineering, data science, and analytics workflows.
Starting with a single prompt, Genie Code explores datasets, trains a machine learning model, builds a Lakeflow Spark Declarative Pipeline, and creates an AI/BI dashboard. The entire workflow happens from one UI panel inside the Databricks workspace, with the agent maintaining full context across notebooks, pipelines, and dashboards.
This end-to-end walkthrough demonstrates how Genie Code helps data teams move from raw data to production insights faster by planning and executing complex workflows across the Databricks Data Intelligence Platform.
What you’ll see in this demo
- Discover and explore datasets using natural language
- Train and evaluate machine learning models
- Create a Lakeflow Spark Declarative Pipeline
- Build an AI/BI dashboard for monitoring results
- Execute multi-step workflows from a single AI agent interface
Watch how Genie Code brings agentic AI to real data work across engineering, science, and analytics.
To learn more about Genie Code:
- Visit the web page: databricks.com/product/genie-code
- Read the blog: databricks.com/blog/introducing-genie-code
- Try Genie Code: databricks.com/try
Stay connected:
- LinkedIn: linkedin.com/company/databricks
- Twitter: https://x.com/databricks/
- Instagram: instagram.com/databricksinc
In this demo, Gal Oshri, Product Manager at Databricks, shows how Genie Code acts as an autonomous AI agent for data engineering, data science, and analytics workflows.
Starting with a single prompt, Genie Code explores datasets, trains a machine learning model, builds a Lakeflow Spark Declarative Pipeline, and creates an AI/BI dashboard. The entire workflow happens from one UI panel inside the Databricks workspace, with the agent maintaining full context across notebooks, pipelines, and dashboards.
This end-to-end walkthrough demonstrates how Genie Code helps data teams move from raw data to production insights faster by planning and executing complex workflows across the Databricks Data Intelligence Platform.
What you’ll see in this demo
- Discover and explore datasets using natural language
- Train and evaluate machine learning models
- Create a Lakeflow Spark Declarative Pipeline
- Build an AI/BI dashboard for monitoring results
- Execute multi-step workflows from a single AI agent interface
Watch how Genie Code brings agentic AI to real data work across engineering, science, and analytics.
To learn more about Genie Code:
- Visit the web page: databricks.com/product/genie-code
- Read the blog: databricks.com/blog/introducing-genie-code
- Try Genie Code: databricks.com/try
Stay connected:
- LinkedIn: linkedin.com/company/databricks
- Twitter: https://x.com/databricks/
- Instagram: instagram.com/databricksinc
