JavaScript runs on every platform. This course shows you how to call Claude from Node, stream responses to a browser, build a stateful chat server, process documents at scale, and handle the retry, caching, and token tracking patterns that production AI apps require.
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 javascript ai development and the claude api you can find — even without producing a single minute of custom video.
This course is built by people who ship production javascript systems for a living. It reflects how things actually work on real projects — not how the documentation describes them.
Every day has working code snippets you can paste into your editor and run right now. The emphasis is on understanding what each line does, not memorizing syntax.
Instead of shooting videos that go stale in six months, Precision AI Academy links to the definitive open-source implementations, official documentation, and the best conference talks on the topic.
Each day is designed to finish in about an hour of focused reading plus hands-on work. You can do the whole course over a week of lunch breaks. No calendar commitment, 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.
Installing the Anthropic SDK for Node.js, your first API call, understanding messages and tokens, and the error types you need to handle from the first line of production code.
Server-Sent Events for streaming AI output to a browser. The ReadableStream API, progressive rendering in React/vanilla JS, and the stop conditions that keep streams clean.
Stateful multi-turn conversations in Express. Session management, conversation history pruning to stay within context limits, and the middleware that logs every AI interaction.
Reading PDFs and text files, chunking strategies for long documents, and the batch processing patterns that handle 1,000 documents without hitting rate limits.
Exponential backoff for rate limit errors, prompt caching to reduce costs, token counting before sending requests, and the monitoring setup that tells you when costs spike.
Instead of shooting our own videos, Precision AI Academy links to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
First API call, streaming responses, and message formatting in Node.js.
Building SSE endpoints in Express, handling reconnection, and streaming AI responses to a React frontend.
Stateful conversation management, session handling, and real-time streaming in a full-stack JS chat application.
Rate limiting, retry strategies, caching, and cost monitoring for production AI applications.
The best way to understand any technology is to read the production-grade implementations that prove it works. These repositories implement patterns from every day of this course.
The official TypeScript/JavaScript SDK for Claude. The streaming implementation and tool_use types are the reference for Days 2 and 5.
The Node.js HTTP framework for the chat server in Day 3. The SSE middleware pattern uses Express’s streaming response support.
Mozilla’s JavaScript PDF renderer. Used in Day 4 for client-side PDF text extraction before sending to Claude.
The same streaming and retry patterns used in this course. Useful for comparing how two SDK designs solve identical problems.
You know JS and want to add Claude to your product. This course covers the full integration from first API call to production monitoring.
You build UIs. This course teaches the Node.js server patterns that sit between your UI and the Claude API.
JavaScript is the fastest path from idea to deployed AI product. This course covers the complete stack in 5 days.
The 2-day in-person Precision AI Academy bootcamp covers JavaScript AI development and the Claude API hands-on. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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