Your LLM-powered product is gaining traction — maybe it's a smart assistant, a co-pilot, or even a fully autonomous agent. Early API tests look promising, but how do you transition from experimentation to robust, scalable deployment? This session guides you through the evolving discipline of GenAIOps/LLMOps: ensuring quality, safety, observability, and governance while continuously improving your model stack, prompt strategies, retrieval pipelines, and agent orchestration. Whether you're fine-tuning models, optimizing for latency and token costs, or introducing human feedback and multi-agent collaboration, you'll learn how to close the loop between innovation and reliability — step by step.