Streaming chat interfaces, AI-powered form validation, image generation pipelines, and tool-calling UIs — built with React, the Vercel AI SDK, and the Anthropic Messages API. The practical course for frontend engineers adding AI.
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 react ai you can find — even without producing a single minute of custom video.
This course is built by engineers who ship react ai systems for a living. It reflects how these tools actually behave in production — not how the documentation describes them.
Every day includes working code examples you can copy, run, and modify right now. The goal is understanding through doing, not passive reading.
Instead of re-explaining existing documentation, this course links to the definitive open-source implementations and the best reference material on react ai available.
Each day is designed to finish in about an hour of focused reading plus hands-on work. Do the whole course over a week of lunch breaks. No calendar commitment, no live classes.
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.
Components, hooks (useState, useEffect, useRef), the event loop and async React, and the component architecture patterns that make AI streaming UIs maintainable.
The Vercel AI SDK useChat hook, streaming tokens into React state, abort controllers to stop generation, and the scroll-to-bottom UX pattern that users expect from AI chat interfaces.
The Anthropic tool use API from a React app, rendering tool calls as UI components, confirmation dialogs before destructive actions, and streaming partial JSON for intermediate UI updates.
LLM-assisted form completion, real-time AI validation feedback, extracting structured data from unstructured user input, and the accessibility considerations for AI-augmented forms.
DALL-E and Stability AI APIs from a React frontend, progress UI for long-running generations, image upload with presigned S3 URLs, and the cost controls that prevent runaway API spend.
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.
Full tutorials on streaming AI responses into React — token-by-token rendering, stop generation, and chat history management.
useChat, useCompletion, useObject — the Vercel AI SDK hooks that make streaming LLM responses into React the simplest they've ever been.
How to define tools, handle tool calls, and render tool results back into the conversation — the pattern behind AI assistants that take actions.
Compound components, custom hooks, context composition, and the architectural patterns that keep AI-heavy React apps maintainable.
Using Next.js server actions to proxy LLM API calls, keeping API keys server-side, and streaming responses through server actions.
The best way to deepen understanding is to read the canonical open-source implementations. Clone them, trace the code, understand how the concepts in this course get applied in production.
The Vercel AI SDK source — useChat, useCompletion, and the streaming infrastructure that powers the React AI patterns in this course.
The TypeScript Anthropic SDK. The /examples directory has React-compatible patterns for streaming and tool use.
Open-source ChatGPT-style UI built in Next.js. Read the source to understand how production AI chat interfaces are structured.
Open-source implementation of Claude Artifacts-style side-by-side code generation and preview. Clean React + streaming reference.
You know React. This course shows you the specific patterns — streaming, tool use, structured output — for building AI features that users actually find useful.
The AI SDK landscape changes fast. This course gives you enough hands-on experience with the major options to evaluate them for your specific use case.
Your product's frontend is where users interact with your AI. This course covers the UX patterns — streaming, tool call UI, confirmation dialogs — that make AI feel responsive and trustworthy.
The 2-day in-person Precision AI Academy bootcamp covers React and AI development in depth — hands-on, with practitioners who build AI systems for a living. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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