Ship a production-ready AI application from scratch. React frontend with streaming responses, FastAPI backend with proper error handling, Claude API integration with prompt caching, and a deployment pipeline that keeps it running.
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 full-stack ai application development you can find — even without producing a single minute of custom video.
This course is built by people who ship production full-stack 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.
The architecture decisions for a production AI app: React + FastAPI + Claude. Project structure, environment setup, and the data flow from user input to AI response to rendered UI.
React with TypeScript, streaming response rendering, loading states, error boundaries, and the UX patterns that make AI apps feel responsive.
FastAPI routes, Pydantic models, async/await, streaming responses with Server-Sent Events, and the middleware for CORS, logging, and rate limiting.
Message formatting, system prompts, prompt caching for cost reduction, tool use for structured outputs, and the retry logic that handles API errors gracefully.
Docker Compose for local dev, deploying to Railway or Fly.io, environment secrets, health checks, and the CI/CD pipeline that deploys on push.
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.
Building a complete AI application with React, FastAPI, and the Claude or OpenAI API from scratch.
FastAPI routes, async, streaming with SSE, and the patterns used in production AI APIs.
Rendering streaming responses from AI APIs in React. SSE, ReadableStream, and the UI patterns that show real-time generation.
System prompts, message history, tool use, and prompt caching with the Anthropic Python SDK.
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 Python SDK for Claude. The streaming and tool_use examples in the SDK are the reference for Days 4 and 5.
The backend framework for this course. Reading the dependency injection source makes Day 3 middleware patterns clear.
The frontend framework. The streaming rendering and Suspense source explain how Day 2’s streaming responses integrate with React’s rendering model.
A production-grade starting point for React + FastAPI applications. The architecture this course builds from scratch.
You build APIs. This course shows you how to add Claude as a first-class service — streaming, tool use, caching — not just a POST call.
You know React. This course teaches the Python backend and AI integration that turns your frontend skills into a complete product.
You have an idea. This course gives you the complete stack — frontend, backend, AI integration, and deployment — to go from idea to live in 5 days.
The 2-day in-person Precision AI Academy bootcamp covers full-stack AI application development hands-on. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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