Anyone can call an LLM API; few can ship an AI app that survives a judge actually using it. This hands-on session takes one real project — Smart Health AI — from a prompt to a deployed, monitored service on Google Cloud, covering architecture, CI/CD, observability, and security along the way. You'll leave with a repeatable, hackathon-winning framework and a starter repo you can fork the same night.