---
type: concept
x-llmwiki:
  schemaVersion: "0.1"
  contentHash: c498a3d8cadeca015faf380dd9a5e33c3fa7d20dcf4d8b1f74ca8382306fb20b
  pageDirectory: concepts
  sources:
    - databricks-data-science-and-ml-capabilities-databricks-on-aws.md
  confidence: 1
  provenanceState: extracted
  freshnessStatus: unverified
  aliases:
    - genie-code-for-ml
    - GCFM
  citations:
    - file: databricks-data-science-and-ml-capabilities-databricks-on-aws.md
title: Genie Code for ML
description: AI-assisted data science tool on Databricks that automates exploratory data analysis, feature engineering, model training (AutoML), deployment, and endpoint diagnostics via natural language.
tags:
  - machine-learning
  - ai-assistance
  - automation
timestamp: "2026-06-19T14:48:00.287Z"
---

## Genie Code for ML

**Genie Code for ML** is an AI-powered assistant integrated into Databricks notebooks that automates and accelerates common data science and machine learning (ML) tasks through natural-language conversation. It can act as a fully autonomous agent — composing multi-step workflows — or as an interactive assistant that responds to user queries. Genie Code is used across the entire ML lifecycle, from data exploration to deployment monitoring. ^[databricks-data-science-and-ml-capabilities-databricks-on-aws.md]

### Capabilities

#### Exploratory Data Analysis
Genie Code can perform fully automated Exploratory Data Analysis (EDA) or serve as an interactive assistant that answers questions about the data. This allows data scientists to explore datasets using natural language chat, UIs, or code, and collaborate via real-time co-editing and Git-based code sharing. ^[databricks-data-science-and-ml-capabilities-databricks-on-aws.md]

#### Data Preparation and Feature Engineering
Genie Code accelerates data discovery and preparation by browsing [Unity Catalog](/concepts/unity-catalog.md) to discover relevant tables, suggesting feature transformations, and generating code for data ingestion and feature pipelines. This connects to the [Feature Store](/concepts/feature-store.md) for both batch and real-time serving. ^[databricks-data-science-and-ml-capabilities-databricks-on-aws.md]

#### Model Training (Intelligent AutoML)
For model training, Genie Code provides intelligent AutoML. It takes natural-language requests and automatically builds full multi-notebook workflows that handle featurization, training, hyperparameter tuning, evaluation, and deployment. ^[databricks-data-science-and-ml-capabilities-databricks-on-aws.md]

#### Model Deployment and Monitoring
Genie Code can generate code for deploying models to both Batch Inference and Real-time Serving endpoints. It can also diagnose issues and performance for model serving endpoints, helping with production monitoring and troubleshooting. ^[databricks-data-science-and-ml-capabilities-databricks-on-aws.md]

### Integration with the Databricks Platform
Genie Code is deeply integrated with Databricks’ Data Governance (Unity Catalog), [MLflow](/concepts/mlflow.md) for experiment tracking and model registry, and the full MLOps toolchain. All code and artifacts it produces are governed and traceable, ensuring reproducibility and auditability. ^[databricks-data-science-and-ml-capabilities-databricks-on-aws.md]

### Sources
- databricks-data-science-and-ml-capabilities-databricks-on-aws.md

# Citations

1. [databricks-data-science-and-ml-capabilities-databricks-on-aws.md](/references/databricks-data-science-and-ml-capabilities-databricks-on-aws-8cf8bf4a.md)
