Overview
Fullstack AI Engineer
Go from zero to a working AI Engineer. You start with the basics, HTML, CSS, and JavaScript, and build all the way up to designing, building, and shipping real web products with AI inside them (RAG, agents, LLM APIs). From day one you also learn to build with AI coding agents like Cursor and Claude Code, because that is how modern engineers work, fast, with an AI pair beside them.
Prerequisites
A laptop and basic computer skills. That's it. No coding experience needed, we start from the very beginning.
Curriculum
Structured in phases
6 phases · tap any phase to expand the details.
How the web works, setting up your laptop (editor, terminal, Git/GitHub), and your first lesson in working with AI coding agents (Cursor, Claude Code), how to use them to learn faster and write code without getting lost. These agents are used through every phase after this.
Modular entry, start where you fit
You don't have to start at the beginning. If you already know frontend, you can join at Phase 2 (Backend). If you already build fullstack apps, you can join at Phase 3 (AI Engineering). Beginners simply start at Phase 0: no problem, no pressure. (We'll do a quick skill check before placing anyone mid-program so they're not lost.)
Outcome
You don't just walk away with a portfolio, you become a job-ready AI Engineer. You'll be able to design, build, and deploy real AI products on your own; work fast using AI coding agents the way top engineers now do; and have a live, shipped AI application plus the confidence to take on client work, a job, or your own product. In short: from "I've never coded" to "I ship AI products."
