Clean Raw Data → Train Custom Model → Deploy API Endpoint
Transform messy enterprise data into a production-ready AI model that your team can query via API. Perfect for companies wanting to build custom AI solutions on their internal datasets.
Workflow Steps
Databricks
Ingest and clean raw data
Connect your data sources (databases, CSVs, APIs) to Databricks. Use built-in data cleaning tools to handle missing values, normalize formats, and remove duplicates. Set up automated data quality checks.
Databricks MLflow
Prepare feature engineering pipeline
Create feature transformations, scaling, and encoding within MLflow. Track different feature combinations and their impact on model performance. Version your feature engineering steps for reproducibility.
Databricks AutoML
Train and optimize model
Use AutoML to automatically test multiple algorithms (XGBoost, Random Forest, Neural Networks) on your prepared data. Compare model performance metrics and select the best performing model.
MLflow Model Registry
Version and stage model
Register your trained model in MLflow's model registry. Tag it with metadata, performance metrics, and approval status. Move it through staging environments (dev → staging → production).
AWS SageMaker
Deploy model as REST API
Deploy your registered model to SageMaker endpoints. Configure auto-scaling based on request volume. Set up monitoring for model drift and performance degradation over time.
Workflow Flow
Step 1
Databricks
Ingest and clean raw data
Step 2
Databricks MLflow
Prepare feature engineering pipeline
Step 3
Databricks AutoML
Train and optimize model
Step 4
MLflow Model Registry
Version and stage model
Step 5
AWS SageMaker
Deploy model as REST API
Why This Works
This workflow solves the 'data readiness' problem by ensuring clean, versioned data flows into production-grade models with proper monitoring and deployment infrastructure.
Best For
Enterprise teams building custom AI models from internal data
Explore More Recipes by Tool
Comments
No comments yet. Be the first to share your thoughts!