Physical AI
Physical AI on AI-ML Companion: Robots, control loops, and models that act in the world. 10 interactive modules with live visualizations, quizzes, and hands-on Python coding.
Start free: What Is Physical AI is fully open to everyone, no account required. The other 9 modules are part of AI-ML Companion Premium; every title and summary is listed below so you can see exactly what the track covers before deciding.
Modules in this track
- What Is Physical AI (free) - Why a model that acts in the world obeys different rules
- What a Robot Actually Exposes (premium) - Degrees of freedom, kinematics, and the action space you have to choose
- What a Robot Actually Senses (premium) - Rates, latency, and why the freshest number you have is already old
- How a Robot Learns From Being Shown (premium) - Teleoperation, behaviour cloning, and the distribution you are actually training on
- How a Robot Learns From Its Own Attempts (premium) - Reinforcement learning, simulation, and what you can afford to try on real hardware
- How One Model Sees, Reads and Acts (premium) - Vision-language-action models, and what internet knowledge is actually worth to a robot
- How a Robot Imagines What Happens Next (premium) - World models, planning in latent space, and the horizon where imagination stops being useful
- When a Robot Does Not Need to Learn (premium) - PID, compliance, honest baselines, and deciding when learning is the wrong tool
- Where the Policy Actually Has to Run (premium) - Watts, grams and milliseconds, and what happens when the model does not fit
- Capstone: What Would You Actually Build? (premium) - One brief, one budget, and every decision this track has been preparing you for