Learning Series | Building Single-Agent Applications on Databricks

Advika — Thu, 19 Mar 2026 12:07:09 GMT

AI agents are moving fast – and so is how we build them on Databricks!

The course formerly titled “Generative AI Application Development” is now “Building Single-Agent Applications on Databricks,” with over 70% of the content updated to reflect the latest in creating, testing, and governing AI agents.

✨ Highlights in this update:

Unity Catalog (UC) Functions for secure, governed agent tools
AI Playground for hands-on prototyping and testing
MLflow 3.0 for better tracing and analysis
Agent Bricks (MAS) for modern agent creation alongside LangChain

🧠 You’ll learn to:

Design and test agents with models, tools, and frameworks
Build Python & SQL agent tools with Unity Catalog
Debug and analyze agent behavior using MLflow
Deploy production-ready agents with governance, versioning, and control
Explore single-agent and multi-agent systems with feedback-driven optimization

👥 Who should take this course:

Engineers building GenAI/agent-based applications
Those with Python, SQL, and Databricks fundamentals
Anyone aiming for production-grade, governed AI systems

Role: Generative AI Engineer
Note: This is the second course in the 'Generative AI Engineering with Databricks’ series

Your AI agent journey starts here!

Enroll Now

topic Learning Series | Building Single-Agent Applications on Databricks in Announcements

Learning Series | Building Single-Agent Applications on Databricks