Build a Support Agent with Vercel AI SDK
Scrimba's Pro project course on building a real customer support agent with the Vercel AI SDK, taught by Mayo Oshin in about 1.9 hours. You finish with an agent that decides for itself how to answer.
Quick answer
Build a Support Agent with Vercel AI SDK is Scrimba's intermediate, Pro-tier project course: roughly 1.9 hours across 21 lessons, taught by Mayo Oshin. You use the popular Vercel AI SDK to create and ship a customer support agent that makes autonomous decisions about how to respond. It is hands-on and project-shaped, so you should already know the AI basics before starting.
Build a Support Agent with Vercel AI SDK
ProTaught by Mayo Oshin (opens in a new tab)
Ship a customer support agent with the Vercel AI SDK that decides autonomously how to answer.
View on Scrimba (opens in a new tab)Is it worth your time?
If you want something concrete to point to rather than another conceptual course, this delivers. The Vercel AI SDK is a tool you will likely use again, and building a support agent is a realistic, recognisable use case. By the end you have a working project, not just notes.
The honest caveat is that it is tied to one SDK and one scenario. The patterns transfer, but if you were hoping for a framework-agnostic treatment of agents, this is narrower than that. It also assumes the agent fundamentals; it spends its time building, not explaining what an agent is.
What you'll learn
The course is built around shipping one project end to end. You wire up the Vercel AI SDK, give the agent the ability to decide how to answer (drawing on provided knowledge or handling a question directly), and get it running. Because the format is interactive, you are writing the integration yourself rather than watching, which is what makes the SDK stick.
Who it's for, and who should skip it
It fits developers who understand AI agents at a basic level and want a practical, finished build using a mainstream SDK. It is a good portfolio piece for the AI track.
Skip it if you have not met agents yet; do Learn AI Agents first. Skip it too if you specifically need a different stack, since the whole course is built on the Vercel AI SDK.
Prerequisites
JavaScript and a working understanding of LLM agents (what they are, how function calling works). Learn AI Agents and Intro to AI Engineering are the ideal lead-ins.
Where it fits
This is a project course on the AI Engineer Path, best taken after the agent fundamentals. It pairs directly with Learn AI Agents as the applied counterpart, and complements Build Serverless AI Agents with Langbase as a second, contrasting tooling approach.
Free or Pro
This is a Pro course requiring a Scrimba subscription. Pro also covers the full AI Engineer Path, the challenges, the Discord, and certificates. See current plans for pricing in your region.
Strengths and limits
What it does well: it produces a real, deployable project, it uses a tool you will meet in the wild, and Mayo Oshin keeps it practical.
Where it is limited: it is scoped to the Vercel AI SDK and a single support-agent scenario, and it assumes agent fundamentals rather than teaching them.
Related courses and comparisons
- Learn AI Agents, the conceptual prerequisite
- Build Serverless AI Agents with Langbase, a contrasting (and free) agent build
- Intro to AI Engineering, the underlying fundamentals
- Learn RAG, to ground a support agent in your own documents
No. It is a Scrimba Pro course requiring a subscription. For a free agent build, see Build Serverless AI Agents with Langbase.
Yes, ideally. The course assumes you understand what an agent is and how function calling works, then spends its time building. Learn AI Agents is a good lead-in.
A customer support agent using the Vercel AI SDK that decides autonomously how to answer, either from provided knowledge or by handling the question directly.
Mayo Oshin. The course is project-based and built around shipping one working agent end to end.
Yes. It is built on the Vercel AI SDK. The patterns transfer, but the course itself is specific to that toolkit.