Building Interactive AI Agents with Generative UI

Standard text-based chat interfaces are no longer enough to meet the expectations of modern application users. To build truly intuitive software, your AI integrations must be able to present structured data, interactive forms, and visual components on demand. This course teaches you how to bridge the gap between large language models and dynamic web interfaces. You will transition from basic text responses to structured, stateful UI components generated on the fly. By understanding how to combine backend agent logic with frontend rendering frameworks, you will unlock a new paradigm of human-computer interaction. What you'll learn: - Understand the core concepts of Generative UI and how structured LLM outputs drive frontend components - Configure AI agents to return structured JSON payloads using tool calling and function schemas - Design dynamic rendering systems that map model outputs to interactive web widgets like charts and forms - Manage application state and user inputs within AI-generated interface components - Apply security best practices to sanitize dynamic inputs and prevent prompt injection vulnerabilities - Practice building a cohesive full-stack architecture that supports real-time, agent-driven UI updates This course begins with foundational concepts, establishing a clear understanding of structured outputs and agent workflows before moving into component mapping and state management. You will read through practical architectural patterns and study clean code implementations to help you build modern, reactive interfaces. This text-based course is designed for web developers, software engineers, and technical builders who have a basic grasp of web development and want to learn how to create next-generation, agent-driven user experiences. No prior experience with Generative UI or AI agent frameworks is required. Start reading today to learn how to build dynamic, agent-driven interfaces that elevate your applications.