From MLOps to LLMOps: A Practical AWS GenAI Operations Guide

The vibe at AWS Student Community Day Tirupati on November 1, 2025, was different from what I thought it would be like. There were lots of students, cloud fans, and builders in the room. They were all there to learn, meet, and geek out about AWS. Throughout the day, there were several classes, and each one added something new. One lesson, though, made me sit up and pay more attention. Raghul Gopal, a Data Scientist and AWS Community Builder (ML), walked up to the stage to talk about something that most people don't think much about: how do you run AI models in real life? Not just make them on a laptop and be happy about it; consistently test, watch, and scale them. "Generative AI Operations: FMOps, LLMOps Integration with MLOps Maturity Model" was the title of the talk. When it was over, I had a whole new perspective on the AI/ML lifecycle on AWS. The Question That Kicked Everything Off "AWS gives you everything in one place to build ML models," Raghul said to start the talk, and it re