Build Interactive Agents with Generative UI

DeepLearningAI · Beginner ·🤖 AI Agents & Automation ·2mo ago

Key Takeaways

Builds interactive agents with generative UI in a course taught by Atai Barkai

Original Description

Enroll now: https://bit.ly/4cPZYGJ Introducing Build Interactive Agents with Generative UI, taught by Atai Barkai, co-founder of CopilotKit, the team behind the AG-UI protocol. Most agents today still talk to users in plain text. But users don't just want to read a response, they want something to see and act on. This course teaches you to build that interactivity: a fullstack agent interface where the agent renders charts, forms, whiteboards, and interactive components on demand. You'll work across the full Generative UI Spectrum, from hand-crafted components you control precisely, to declarative layouts the agent assembles from building blocks, all the way to open-ended experiences powered by MCP Apps. You'll finish by building a canvas application where the agent works alongside the user on shared data. By the end, you'll have a production-ready fullstack agent built on CopilotKit and AG-UI, an open protocol with first-party integrations across LangGraph, Google, AWS, Microsoft, and more. Learn more: https://bit.ly/4cPZYGJ
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
5 Ways To Build An AI-Positive Workplace Before Fear Takes Over
Build an AI-positive workplace by addressing fear and uncertainty through 5 practical steps, fostering innovation and a positive corporate culture
Forbes Innovation
📰
Industry 5.0 Won't Be Won by More Dashboards. It'll Be Won by Faster Decisions.
Industry 5.0 will be driven by faster decision-making, not more dashboards or automation, and manufacturers must focus on leveraging AI for decision-making, not just data collection
Dev.to AI
📰
OpenAI's Assistants API shuts down August 26 — but the silent failures hit weeks earlier, when you migrate
Migrate from OpenAI's Assistants API to Responses API before August 26 to avoid silent failures and ensure a smooth transition
Dev.to AI
📰
I ran Anthropic's official MCP server in a gVisor sandbox — here's what happened
Learn how to run Anthropic's official MCP server in a gVisor sandbox and explore the possibilities of Model Context Protocol (MCP) in a secure environment
Dev.to · Edison Flores
Up next
AI Agents Are Starting to Talk to Each Other... Without Us.
PlivoAI
Watch →