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💬Intermediate8 lessons · 3 free

Build an AI Chatbot

Chatbots are the most-requested AI feature — and the most often done badly. This course teaches you to build one that is actually useful: a chatbot with a knowledge base, streaming responses, conversation memory, and tool use. You will build a working chatbot by lesson 3 and progressively harden it into something production-ready by lesson 8.

Prerequisite: basic JavaScript or TypeScript — pairs with Generative AI for Builders
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$59one-time · lifetime access

What you'll learn

Why chatbots fail and the architecture that makes them reliable
Build a streaming chatbot with Claude claude-sonnet-4-6 and Next.js
Add a knowledge base with RAG — Supabase pgvector and embeddings
Implement conversation memory for contextual multi-turn chat
Tool use — let your chatbot take actions via external APIs
Streaming UI with real-time response rendering and abort support
Production deployment with rate limiting and error handling
Chatbot UX — grounding messages, fallbacks, and conversation recovery

Course outline

Full course — $59 one-time

04

Giving Your Chatbot a Knowledge Base

Add RAG so your chatbot answers questions from your own docs, products, or FAQs

13 min
05

Conversation Memory — Short-Term and Persistent

Build a chatbot that remembers context across turns and across sessions

10 min
06

Tool Use — Chatbots That Take Actions

Give your chatbot the ability to search, look up data, and trigger real-world actions

11 min
07

Streaming, Loading States, and a Great UX

Make your chatbot feel fast and polished — typing indicators, error states, and smooth streaming

9 min
08

Deploying and Monitoring Your Chatbot in Production

Rate limiting, cost control, error monitoring, and going live on Vercel

11 min

Get the full course

8 lessons — from first chatbot to RAG, tool use, and production deployment.

8 lessons✓ Full source code✓ Certificate
$59one-time

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