Great end-to-end project! To take it to the next level, consider exploring these native Databricks capabilities.

• Lakehouse Monitoring: Track data drift and automate model retraining when performance drops.
• Model Serving: Deploy your models behind serverless REST endpoints for external API consumption.
• LLMs: Leverage Foundation Models for zero-shot classification and predictions instead of training bespoke models from scratch.