AI For All

Most people interact with AI every day without ever really understanding what's happening underneath. They've heard terms like machine learning, generative AI, hallucinations, GPUs, and data centers thrown around, but nobody's ever explained them in a way that sticks. This course fixes that — and then goes further. Starting from the basics of how AI systems learn, you'll build a clear mental model of artificial intelligence: what it is, how it evolved, and why it behaves the way it does. No prior technical background required. You'll also learn to use AI well. That means recognizing when it's confidently wrong, calibrating trust to the task, and using it responsibly — the practical judgment that separates people who get real value from AI from people who don't. From there, you go deeper. You'll look at generative AI not just as a tool you can prompt, but as a technology with a specific logic: how it produces text, why it generates images the way it does, and what that means for creative work and school. Then you'll look at where things are heading. AI agents that make decisions on their own. Robots and physical systems that move through the real world. The massive computing infrastructure — the so-called AI factories — being built to run it all. And the physical data centers, real buildings full of GPUs, where every AI query you send actually gets answered. Every unit ends with hands-on projects. You'll write prompts to recreate images and web pages. You'll work with AI research agents to investigate real questions and with spreadsheet agents to analyze real data. You'll direct an AI to build a landing page for you. And in the capstone, you'll use a full-stack AI agent to design, build, and deploy your very own live app on the internet — start to finish, no coding required. By the end you won't just know AI. You'll know how to build with it. That's what this course is built to give you.