Vercel Eve Beginner to Pro: Build & Deploy Agentic AI Agents

AI agents are everywhere, but most tutorials stop at a toy chatbot that can't do anything real. This course is different. You'll learn Vercel Eve, Vercel's open-source framework for building production AI agents, by building one complete, genuinely useful project, from an empty folder all the way to a deployed application.

The project you'll build

Your project is a real-world AI assistant for a real estate sales agency. The kind of software a business would actually pay for. From Slack, real-estate agents talk to your Eve agent in plain language to:

• manage property listings and client data (using custom tools)

• book viewings, and receive a daily "your viewings today" digest delivered automatically (using scheduled tasks)

• and write polished, accurate property area descriptions by researching the live web (using Exa MCP)

It's all driven by a single database, and every feature is chosen to teach a specific Eve building block, so by the end, the patterns are yours to reuse on any agent, in any domain. The real estate app is just the vehicle; the skills transfer everywhere.

Why Vercel Eve, and why now

Eve is new, which means the developers who learn it now are early. It's built on Vercel, so you get serverless deployment, scheduled jobs, sandboxed compute, managed authentication, and model routing out of the box. And its filesystem-first design means adding a capability is as simple as adding a file.

What makes this course different

This isn't a string of disconnected demos. It's one coherent project that grows module by module, the way you'd actually build software, and it doesn't dodge the hard parts.

The examples are deliberately real and useful, no throwaway projects, but they stay simple enough that you can follow along and build every piece yourself.

By the end you won't just understand Vercel Eve, you'll have built and shipped a real, useful, AI agent, and you'll know how to design, secure, schedule, and deploy your own.