DeepLearning.AI · 2026-04-21 · notable
Build Interactive Agents With Generative UI — Free DeepLearning.AI Short Course by CopilotKit
An 8-lesson free course from DeepLearning.AI and CopilotKit covering how to build LLM agents that output live UI components—forms, charts, whiteboards—instead of plain text, using LangChain, React, and the AG-UI protocol.
Turn your LLM agent's text replies into interactive charts, forms, and apps
What is it?
A free DeepLearning.AI short course (8 lessons, ~2h) taught by Atai Barkai—co-founder of CopilotKit and creator of the AG-UI protocol. Covers three patterns: controlled UI components, declarative UI with AG-UI, and open-ended MCP-powered experiences.
How does it work?
Students build a full-stack agent app with LangChain agents connected to a React frontend via CopilotKit. The agent dynamically renders charts, approval flows, and whiteboards as tool outputs instead of text.
Why does it matter?
The jump from 'agent that answers in text' to 'agent that builds interactive apps' is what most production agentic applications need. This is the first structured course on the AG-UI protocol that Google, Microsoft, Amazon, and Oracle co-developed with CopilotKit.
Who is it for?
Frontend and full-stack developers building agent-powered applications.