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Build a Support Agent with Vercel AI SDK

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Build a Support Agent with Vercel AI SDK

Instructor: Mayo Oshin

Included with

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Use the popular Vercel AI SDK to create and ship a customer support agent.
Learn a practical, modern stack that’s fast to build, easy to extend, and ready for production.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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There is 1 module in this course

This course shows you how to build a real customer support AI agent, from retrieval to reasoning to reliable responses. Whether you’re integrating AI into an existing product or launching your first agent, you’ll learn a practical, modern stack that’s fast to build, easy to extend, and ready for production.

What is the Vercel AI SDK? Vercel AI SDK is a TypeScript-first toolkit for building AI features. It streamlines text generation, embeddings, and structured outputs. It plays nicely with tools, so your agent can call functions including “search the web” or “query my knowledge base” safely and predictably. In this course, you’ll ship a customer support agent that: - Embeds support docs into a Supabase vector store. - Uses retrieval and web search as tools, selected on-the-fly based on the user’s question. - Classifies intents with structured outputs (via generateObject + Zod). - Answers questions with grounded, trustworthy responses—pulling from your docs when relevant or searching the web in real time when needed.