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On 2026-05-07 @AndrewYNg announced a new deeplearning.ai short course (link…

Brief

Andrew Ng released a deeplearning.ai short course on 2026-05-07, taught by @ataiiam (CopilotKit co‑founder) that shows developers how to build chat agents which render custom UIs — charts, forms, whiteboards — inside conversations. The course covers three approaches: choosing prebuilt components, composing layouts from building blocks, and embedding third‑party apps like calendars and maps.

Why it matters

On 2026-05-07 @AndrewYNg announced a new deeplearning.ai short course (link: deeplearning.ai/short-course) built in partnership with CopilotKit and taught by @ataiiam, co‑founder of CopilotKit.

Key details

  • The course teaches three concrete approaches for agents to produce rich UIs in-chat: (1) pick from custom components you build (charts, forms), (2) compose layouts from provided building blocks (rows, cards, text), and (3) embed third‑party apps (whiteboards, calendars, maps); skills include rendering components on demand and creating shared data collaboration beyond the chat window.
Source evidence

New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with @CopilotKit and taught by @ataiiam, co-founder of CopilotKit.

You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation.

Skills you’ll gain:
- Build agents that render custom components like charts and forms on demand
- Build an app where the agent and user collaborate on shared data, beyond just the chat window
- Place third-party apps like maps, calendars, and whiteboards right in your interface

Join and build agents that give users something to see and act on! deeplearning.ai/short-course…

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