Deploying Python Generative AI Apps: Docker, Vercel, Cloud Run, and Azure

Building a Generative AI application is only the first step; knowing how to package and deploy it to the cloud is what makes it production-ready. This text-based course guides you through the entire lifecycle of a modern AI application, from local development to multi-cloud deployment. You will transition from writing local scripts to launching a fully functional, containerized AI web application. Through step-by-step written explanations and practical code examples, you will build a smart AI-powered application and deploy it across three major cloud hosting environments. What you'll learn: - Learn the fundamentals of Generative AI integration using Python and secure API connections. - Build a functional web application using clean, modern Python practices. - Apply basic prompt engineering principles to ensure reliable AI-generated responses. - Master Docker packaging by writing efficient Dockerfiles for containerization. - Configure and deploy your application to Vercel for serverless hosting. - Deploy containerized applications to Cloud Run and Azure Container Instances. The course begins with foundational concepts of web development and API integration, followed by step-by-step instructions for containerizing your app with Docker. Finally, you will explore the specific deployment workflows for Vercel, Cloud Run, and Azure. This course is designed for beginners who have a basic understanding of Python and want to learn real-world deployment workflows. No prior cloud or Docker experience is required. Start reading today to take your Python AI applications from your local machine to the cloud.