This short course will teach you how to build agents that output not just walls of text, but custom user interfaces to show the results back to the
user. I'm excited to welcome you to this course on building interactive agents with generative UI, built in partnership with Co-pilot Kit and taught
by Atri Bakhtiari, who's co-founder of Co-pilot Kit. You've probably seen AI agents that reason, call
tools, and then return results, but most of those responses are just plain text. The user sends a message, they get a message, maybe a long message
back. In this course, you learn to build agents that generate custom UIs or custom user interfaces. So, this gives you agents the ability to return a
form, a chart, a button, even interactive components instead of just a plain text response. Thank you,
Andrew. Co-pilot Kit exists because we firmly believe that all UI is becoming AI. Every interaction between people and technology is increasingly
mediated by agents. And yet, as we film this course, most agents still talk to users in plain text, which sounds a lot like the command line MS-DOS
era of personal computing. Powerful for early adopters, but not yet built for mass adoption. The Windows
and Mac era changed that and brought full-featured applications that anybody could use. AI is going through the same transition now, and the teams
building the front-end layer are the ones who get to define what that looks like. You start bridging that gap in this course by wiring agent directly
into a React front-end [music] using Co-pilot Kit and AGUI. By the end, you have a production-ready
full-stack agent app. Jump into this course to give your agents an interface your users will love.