From first principles to skilled-user, hands-on.
Three short, self-guided courses in Physical AI. You don't watch — you build, simulate, and tune real systems in your browser from the first minute.
Where to start.
Each course runs entirely in your browser — every lesson opens with something to do.
DS-110Design and Simulation of Devices
Model a Physical AI device in parametric CAD and prove it out in simulation before any hardware — geometry, mechanisms, dynamics, and the design→simulate→improve loop.
13 lessons →
PAI-110Programming Physical AI
One simulated differential-drive rover, commanded at three rising depths — visual blocks, Python scripting, and bare-metal MCU — re-solving the same tasks at each depth until you can choose the right level of abstraction for a physical-AI task and prove it.
14 lessons →
PAI-150Manufacturing Physical AI
Take a part from a clean CAD model to a humming, optimized production line inside a browser-native virtual-factory twin — deciding how to make it, generating its process plan, taming tolerance and variation, balancing the line, and optimizing a whole factory against throughput, cost, and yield.
15 lessons →Learn by running real code.
A live Python notebook that runs entirely in your browser. This is the Bench every lesson is built on — launch it, edit any cell, re-run.
Warm-up: Hovering a quadrotor
Size the thrust to hover, then close an altitude-hold loop — and tune it yourself.