From your first print to the frontier of Physical AI.
Making physical things that think is a ladder — from a curious first print to the foundation models driving humanoid robots. This is that ladder: the skills at each rung, the credentials that mark them worldwide, and how you climb it here — design, program, and build, in your browser, on real hardware.
Shop class didn't stop mattering. It stopped scaling.
Woodshop and the electronics lab vanished from schools on cost, liability, space, and teachers — exactly as the skills they taught became some of the most valuable on earth. The skills didn't leave. The classroom did.
The Maker Studio is the shop class rebuilt for it: design a part on a real CAD kernel, write the code for its brain, and hand the model to your printer — most of it in a browser tab, on hardware a classroom can afford. The bench is virtual; the skill, the part, and the robot are real.
Five rungs, tinkerer to frontier.
Each rung is a real place in the world — and a real place in this ecosystem. You start where you are and climb.
Curious — a student, a hobbyist, a first-timer.
Drive a robot, make a first print, see the loop.
Here: Play — the Arena, Pilot, Forge, and every drivable build twin.
Building things that work — CTE, community college, serious hobbyist.
Design a part, program a board, print a body, run a policy.
Here: The Maker Studio — CAD + code + print — plus Digital Brains and the builds.
A working engineer or a bootcamp graduate.
PCB design, ROS2, generative design, sim-to-real, real datasets.
Here: The course library — Robot Learning, Silicon, Rust, Embodied AI, on real benches.
A degree holder or a senior engineer.
Metal AM, VLAs, functional safety, deployment, qualification.
Here: The VLA, World Models, and research topics — plus our released models.
A researcher or an industry lead.
Foundation models for robots, world models, fleet learning, safety.
Here: The labs and the living papers — where the field is being written.
Additive manufacturing · electronics · Physical AI.
The same ladder, run up each of the three crafts a physical-AI system needs — and anchored, rung by rung, to the credentials the world already recognizes, so what you learn here is legible to an employer.
Additive Manufacturing
Design and make the body — from a first print to qualified production parts.
Electronics Integration
The nervous system — from a blinking LED to safety-certified embedded systems.
Physical AI
The mind and the behavior — from driving a robot to the foundation models behind humanoids.
The skills the field is scrambling for — you can touch them today.
The top of the ladder is moving fast, and the legacy credentials haven't caught up. These are the bleeding-edge skills employers can't hire fast enough — and each one is already live here to learn by doing, not just to read about.
Vision-language-action models
The VLA track + our released on-device VLA checkpoints.
World models & learning from video
The World Models course + our playable neural world model.
Sim-to-real robot learning
The Robot Learning course + Forge's on-device learn-to-walk.
On-device edge AI (NPU microcontrollers)
Digital Brains + the OpenMV N6 in the Maker Atlas.
RISC-V & embedded Rust
The Rust for Physical AI course + the CyberBrick core.
Program real hardware from the browser
The CyberBrick IDE in the Maker Studio — WebSerial, no install.
Real roles, real demand.
The ladder feeds a labor market that can't fill it — the WEF projects tens of millions of new roles and a majority of the workforce needing to reskill by 2030. These are the jobs at the top of each craft.
Additive manufacturing engineer
Design for AM and industrialize printed parts.
~$85k US averageEmbedded / edge-AI engineer
Firmware plus on-device intelligence.
~$137k; edge-AI robotics $184k+Robotics & robot-learning engineer
Perception, control, and learned policies.
senior $205k+Physical-AI / humanoid specialist
Foundation models for embodied robots.
$280–475k total comp (frontier)Emerging roles
AI-training specialist, robot-fleet manager, human-robot-interaction designer, embodied-safety auditor.
created by the humanoid waveCompensation figures are current US market signals; some are directional. The demand is not.
Pick your rung.
You don't start at the bottom — you start where you are, and everything above you is one continuous path.
Play
Drive an embodied AI. Feel the loop before you build it.
MakerThe Maker Studio
Design a part, program a board, print it. The virtual shop class.
PractitionerLearning paths
Stack the courses into a rung-aligned track — Foundations to Frontier.
FrontierResearch
The living papers and released models at the edge of the field.