This hands-on workshop is designed for intermediate Python developers and data scientists who want to take their machine learning models from local notebooks to the cloud. Participants will learn how to wrap ML models using FastAPI, containerize them with Docker, and deploy them on Google Cloud Run for scalable access. We’ll also cover how to monitor and version models, and briefly explore integrating with GraphQL or a lightweight frontend for interactive consumption. By the end of the session, attendees will have a working ML API deployed on the cloud, ready for production or demo use.