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!
