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!