Building Full-Stack AI-Powered Applications

Integrating artificial intelligence into web applications is no longer reserved for machine learning specialists. Modern APIs and frameworks allow any developer to build smart, context-aware full-stack applications. In this text-based course, you will transition from a traditional web developer to an AI-driven application creator. You will learn how to connect frontends to backends, communicate with large language model APIs, manage application state, and leverage semantic search to deliver intelligent user experiences. What you'll learn: - Understand the fundamental concepts of AI APIs, tokenization, and how language models process text. - Build secure backend services that safely communicate with external AI providers. - Implement Retrieval-Augmented Generation (RAG) using vector databases for context-aware responses. - Apply basic prompt engineering techniques programmatically to guide model behavior. - Design responsive frontend interfaces that display AI streaming responses and handle loading states smoothly. - Configure modern authentication and rate-limiting to protect your AI-powered endpoints. The course starts with foundational definitions of AI endpoints and API structures before guiding you through building a complete, secure backend. You will then progress to frontend integration, learning how to handle real-time streaming text and manage vector-based data storage. This course is designed for web developers and programming beginners who want to build AI features without needing a background in data science or complex mathematics. Start reading today to begin building intelligent web applications from scratch.