Beyond RAG: Building AI Agents That Think, Plan, and Act

This course explores the evolution from traditional retrieval‑augmented generation (RAG) to agentic RAG systems that can reason, plan multi‑step workflows, and take action. Participants will learn how to move beyond basic document retrieval to build autonomous AI agents capable of searching, analyzing, self‑correcting, and orchestrating tools, all grounded in real‑world data.