In this hands-on session, we'll move beyond demos and PoCs to dive into how to build complex agentic systems that work in real-world scenarios. We’ll start by covering the fundamentals of agents (short-term memory, long-term memory, tool use, reasoning techniques, etc), then introduce Agentic RAG and how it differs from traditional RAG, and show how to bring these concepts into production using LLMOps practices like agent monitoring, prompt versioning, dataset management and RAG evaluation. We'll wrap up with a real-time simulation of agents operating inside a video game, seeing all these concepts come to life in action.