Uploaded March 2026 | Updated September 2026, 2 weeks ago
Discover how Genie Code acts as an autonomous AI agent to help data scientists build and iterate on machine learning models directly inside the Databricks workspace.
Starting with a simple request, Genie Code explores datasets, performs feature analysis, and trains an XGBoost model to generate predictions. The entire workflow happens from a single UI panel, with the agent maintaining context across datasets, notebooks, and model development steps.
This walkthrough highlights how Genie Code helps teams move from raw data to production-ready machine learning models faster by planning and executing ML workflows across the Databricks Data Intelligence Platform.
What you’ll see in this demo
- Discover and explore datasets for model development
- Perform feature analysis and data preparation
- Train and evaluate an XGBoost machine learning model
- Generate predictions and review model performance
- Execute machine learning workflows from a single AI agent interface
Watch how Genie Code helps data scientists accelerate model development with agentic AI built for real data science work.
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:
- Connect with us: Website: databricks.com
- Twitter: https://x.com/databricks/
- LinkedIn: linkedin.com/company/databricks
- Instagram: instagram.com/databricksinc
Discover how Genie Code acts as an autonomous AI agent to help data scientists build and iterate on machine learning models directly inside the Databricks workspace.
Starting with a simple request, Genie Code explores datasets, performs feature analysis, and trains an XGBoost model to generate predictions. The entire workflow happens from a single UI panel, with the agent maintaining context across datasets, notebooks, and model development steps.
This walkthrough highlights how Genie Code helps teams move from raw data to production-ready machine learning models faster by planning and executing ML workflows across the Databricks Data Intelligence Platform.
What you’ll see in this demo
- Discover and explore datasets for model development
- Perform feature analysis and data preparation
- Train and evaluate an XGBoost machine learning model
- Generate predictions and review model performance
- Execute machine learning workflows from a single AI agent interface
Watch how Genie Code helps data scientists accelerate model development with agentic AI built for real data science work.
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:
- Connect with us: Website: databricks.com
- Twitter: https://x.com/databricks/
- LinkedIn: linkedin.com/company/databricks
- Instagram: instagram.com/databricksinc
