Foundations of Streaming AI Agents for Web Applications

Real-time feedback is essential for modern AI applications. Users expect to see AI-generated text, tool usage, and reasoning steps appear instantly, rather than waiting for a single delayed response. In this course, you will learn the foundational concepts of building full-stack AI agents capable of streaming data directly to a web user interface. Starting with basic AI terminology and prompt engineering, you will progress to understanding how to handle asynchronous data streams and integrate them into modern web applications. What you will learn: Understand core AI agent terminology, large language models, and basic prompt engineering; Learn the mechanics of token streaming to create real-time text generation experiences; Configure tool-call streaming to display agent actions and reasoning steps as they happen; Apply asynchronous programming concepts to handle continuous data flows efficiently; Integrate AI streams with modern web interface conventions for a seamless user experience; Explore foundational retrieval-augmented generation (RAG) patterns to ground your agent's knowledge. The course begins with a thorough introduction to AI concepts and streaming architectures. From there, you will work through written exercises that guide you in connecting backend agent logic to frontend display components, ensuring a robust full-stack understanding. This course is designed for beginners and aspiring full-stack developers; no prior experience with AI or streaming technologies is required. Start building responsive, real-time AI agents today.