One chatbot. Five days. Goes from a blank index.js to a streaming, RAG-powered chatbot deployed to a live URL. Node.js, Express, the Anthropic Claude API, and Railway. Real code every session.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on ai chatbot you can find — even without producing a single minute of custom video.
You don't build 5 different demos. You build one chatbot that adds capability each day: conversation memory, streaming, RAG, deployment.
Authentication, error handling, rate limiting, and cost controls are introduced early — not as afterthoughts before deployment.
The Anthropic Node.js SDK documentation is the canonical reference. This course links to relevant sections throughout.
Each day is designed to finish in about an hour of focused reading plus hands-on coding. No live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
Express server setup, the Anthropic SDK, your first API call to Claude, basic error handling. A working endpoint that returns an AI response.
Storing and passing conversation history. The messages array structure. How Claude uses context to maintain coherent multi-turn conversations.
Streaming API responses with Server-Sent Events. A simple frontend chat UI that shows responses as they stream. The UX that makes AI chat feel fast.
Simple RAG: load documents, embed them, retrieve relevant chunks, include in the prompt. A chatbot that can answer questions about your own data.
Deploying the chatbot to Railway, setting environment variables, configuring for production, and getting a shareable URL you can demo to anyone.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Walkthroughs of building Node.js chatbots with Claude and other AI APIs — setup, conversation handling, and deployment.
Official and community tutorials for using the Anthropic Claude API with Node.js and the official SDK.
How to implement streaming AI responses with Server-Sent Events — the pattern that makes chat UIs feel responsive.
Building retrieval-augmented generation systems — embedding documents and retrieving context for grounded AI responses.
Deploying Node.js applications to Railway — the fastest path to a production URL for a chatbot or API.
How to manage multi-turn conversation history, context windows, and token budgets in production AI chatbots.
The best way to go deeper on any topic is to read canonical open-source implementations. These repositories implement the core patterns covered in this course.
The official Anthropic Node.js SDK — the primary library this course builds on. Well-documented with examples.
Express.js — the Node.js web framework this course uses for the chatbot API server.
Vercel's AI SDK for building streaming chat UIs — the most popular open-source solution for streaming AI responses in Node.js.
LlamaIndex for RAG — the library pattern this course uses for document embedding and retrieval in Day 4.
You know Node.js and want to add AI capabilities. This course is the direct path from JS developer to AI chatbot builder.
You want to add an AI chat feature to your product. This course gives you the production-ready pattern to do it.
You've heard about LLM APIs but haven't built anything. This course gives you the complete hands-on foundation.
The 2-day in-person Precision AI Academy bootcamp covers AI app development with Node.js, Python, and Claude — hands-on with Bo. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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