Free Course — No signup required

Build an AI Chatbot
with Node.js

Five project-based lessons to build a real AI chatbot from scratch: Node.js backend, Express server, Claude API integration, streaming responses, retrieval-augmented generation, and Railway deployment.

5 lessons
Self-paced
~60 min/day
Free forever
Start Day 1 — Free → See what's covered
What you'll learn

Go from zero to deployed chatbot in five days.

This isn't a tutorial that stops at 'Hello World.' By day 5 you'll have a chatbot with a real UI, conversation history, RAG-powered context retrieval, and a live URL to share.

  • Set up Node.js + Express + Anthropic SDK from scratch
  • Manage multi-turn conversation history correctly
  • Build a streaming chat UI with Server-Sent Events
  • Add RAG with keyword retrieval to ground answers in your data
  • Handle errors, retries, and production edge cases
  • Deploy to Railway with a custom domain in under 15 minutes
5
days to deployment
5
practical lessons
$0
course cost
1
live chatbot you own
5-Day Curriculum

Every lesson has a real exercise.
No theory without practice.

01
Setup — Node.js, Express, and Your First Claude Call
Install the stack, get your API key, send your first message to Claude, and understand the request/response model.
Node.js setupExpress serverAnthropic SDK
→
02
Conversation History — Multi-Turn Memory
Build proper conversation history management so your chatbot remembers context across multiple messages.
Message historyContext windowTurn management
→
03
Streaming Chat UI — Real-Time Responses in the Browser
Build a clean chat UI with HTML/CSS/JS and connect it to your backend with Server-Sent Events for streaming responses.
SSE streamingChat UIReal-time display
→
04
RAG — Ground Your Chatbot in Real Data
Add retrieval-augmented generation with a simple keyword search index so your chatbot can answer questions about your documents.
RAG implementationKeyword retrievalDocument grounding
→
05
Deploy to Railway — Live URL in 15 Minutes
Push your chatbot to Railway, add a custom domain, and set production environment variables. Ship it.
Railway deployEnvironment configCustom domain
→
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Your instructor
B
Bo Peng
Founder, Precision AI Academy

Kaggle Top 200 data scientist. Built production AI applications for real clients. Trained 400+ developers and professionals. This course covers every mistake I made so you don't have to make them too.

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