You used AI to generate a working web app — now what? The gap between a prototype running on your laptop and a production-ready application serving real users is where most developers get stuck. Deployment pipelines, hosting choices, environment management, performance bottlenecks, and scaling strategies all become real problems the moment your AI-generated app needs to handle traffic, store data securely, and stay online. This course walks you through the full journey from local prototype to production. You will learn how to containerize your application, choose the right hosting platform, set up continuous deployment pipelines, manage environment variables and secrets safely, monitor performance, and scale your app to handle growing user loads. Each lesson focuses on practical decisions you will actually face, not abstract theory. Through hands-on exercises, you will practice deploying applications, configuring auto-scaling, setting up monitoring and logging, and troubleshooting common production issues. Whether your AI tool generated a React frontend, a Flask API, or a full-stack app, the principles here apply broadly. This course is designed for developers who have built a working web application using AI tools and are ready to move it beyond localhost. You should be comfortable with basic command-line usage and have some familiarity with web frameworks, but no prior DevOps or cloud experience is required. Take your AI-generated app from demo to production — enroll now.