This is a hands-on, full-day workshop where you’ll build a complete AI-powered application in Go — from first prompt to production-ready system.

You’ll start by connecting your Go application to a language model and grounding its responses in real data using Retrieval-Augmented Generation (RAG). Then you’ll give it the ability to act on the world through Tool Calling, Function Execution, and the Model Context Protocol (MCP). With the core system working, you’ll learn the advanced optimization techniques that separate prototypes from production — speculative decoding, semantic caching, and intelligent model routing.

Finally, you’ll harden everything against the security threats unique to LLM-powered systems, from prompt injection to data exfiltration.

Each part builds on the last.

By the end of the day, you won’t just understand these concepts — you’ll have built, optimized, and secured a working system that retrieves, reasons, and acts.