This training walks step by step through a hands-on project using the Agentic Data Stack, all running in a single Docker Compose. You’ll explore how ClickHouse, MCP, LibreChat, and Langfuse work together in a ready-to-run setup for building agentic AI systems. We’ll focus on the end-to-end workflow with data ingestion and retrieval in ClickHouse to agent interaction and observability, using a practical, production-inspired project you can run locally. You don’t need to be a ClickHouse expert to follow along. Familiarity with RAG or agent-based systems is helpful, but the stack is designed to be approachable and easy to get started with.