AI agents are systems that reason, plan, and take action on their own - calling tools, retrieving knowledge, and completing multi-step tasks. On Databricks you build, deploy, and evaluate them with Mosaic AI and Agent Bricks, all governed by Unity Catalog.
The catalog offers three AI Agents courses across two levels - from a free onboarding intro to hands-on Associate labs that give your agents durable memory. Follow the path below. ๐
Onboarding ยท 2H
Get Started with AI Agents on Databricks
Learn what agents are, how they differ from traditional AI systems, and their key components - then build, deploy, and evaluate your first agent with Mosaic AI and Agent Bricks through interactive demos and hands-on labs.
Self-paced also available in English, ๆฅๆฌ่ช, and ํ๊ตญ์ด.
Real agents need to remember - both within a conversation and across sessions. These hands-on courses use Lakebase as the persistence layer, with LangGraph checkpointers, MLflow tracing, and deployment as a Databricks App.
Associate ยท 4H
Building Persistent Memory for AI Agents with Lakebase
Give agents short-term and long-term memory with LangGraph's Checkpointer and Store, backed by Lakebase autoscaling. Build and test in notebooks, observe behavior through MLflow traces, and deploy a fully stateful agent as a Databricks App.
Associate ยท 1H
AI Agents and Long-Term Memory on Lakebase
A focused, hands-on lab: distinguish the three memory categories, persist a LangGraph conversation with a checkpointer, resume a thread after a restart, and recall facts across threads with a semantic store.
Reason. Act. Remember. Learn to build AI agents the right way with official Databricks training.
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