How long is the Physical AI and Robotics Bootcamp?

12 weeks at about 15 hours a week. The weeks run as six two-week blocks; each block ends in a project you deploy and a gate you must pass before the next block opens.

Is the Physical AI and Robotics Bootcamp live or self-paced?

Live. It is taught on Zoom by one instructor, with a 30-minute one-to-one every week. Nova, Square 1's AI tutor, grades every exercise and project between sessions against a rubric you can read.

When are the live sessions for the Physical AI and Robotics Bootcamp?

Live sessions run on weekday evenings from 5:30 PM Sri Lanka and India time, with full-day sessions at weekends. That is 5:00 PM in Pakistan, 5:45 PM in Nepal and 6:00 PM in Bangladesh, so the sessions fit around a working day.

How much does the Physical AI and Robotics Bootcamp cost?

A$200 for the founding cohort, paid once; the standard price is A$400. It is the same price in every country. Founding students keep their founding price on any second programme.

What will I build in the Physical AI and Robotics Bootcamp?

6 deployed projects: In simulation, Perception, Control, The policy, Hardware and Employer brief. Each is graded against a published rubric and kept on a record an employer can open at /verify.

What skills does the Physical AI and Robotics Bootcamp teach?

Python, ROS, simulation, computer vision, control, reinforcement learning and edge deployment. It prepares you for roles such as Robotics engineer, Perception engineer, Controls engineer and Embodied AI engineer.

Does the Physical AI and Robotics Bootcamp guarantee a job?

No. No placement rate is published because the first cohorts have not graduated. What you leave with is six deployed projects, a recorded defence of your code and a hiring plan worked through with your instructor, including a two-week hiring sprint at the end.

Live bootcampTaught live on Zoom, one instructor

Physical AI and Robotics Bootcamp

Perception, control and simulation for machines that move.

Physical AI and Robotics Bootcamp is a 12-week live online bootcamp, taught on Zoom by one instructor at about 15 hours a week, with 6 deployed projects and a one-to-one every week. The founding price is A$200, down from A$400. Live sessions run on weekday evenings from 5:30 PM Sri Lanka and India time, with full-day sessions at weekends.

Taught with

PythonPyTorchNumPyDockerJupyter

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By week 12, you will have shipped

Week 1Simulator SetupA simulated robot arm that moves to a target position from a Python script
Weeks 1–2Simulation firstA simulated robot completing a task, with the code published
Week 3Sensor ReplayA script that replays recorded camera and lidar data and plots each frame
Weeks 3–4PerceptionA perception pipeline running on recorded sensor data, deployed
Weeks 5–6ControlA controller that follows a path with disturbances, in simulation
Week 7Reward FunctionA reward function for one simulated task, tested by watching a random policy
Weeks 7–8LearningA learned policy evaluated in simulation, published
Week 9Hardware Bring-UpA test script that checks each motor and sensor on a real robot works
Weeks 9–10HardwareThe capstone: the pipeline on real hardware, with a field-test report
Weeks 11–12Employer brief and hiring sprintThe employer brief shipped, and demo day

weeks, live on Zoom: 12
hours a week: 15
projects to build: 10
minutes 1-1, every week: 30

Who it is for, and what you receive.

Engineers with Python and some linear algebra who want to build perception, control and learning for machines that move. The ML toolkit helps; a real platform is named at enrolment.

Before you start

Python and some linear algebra; the ML toolkit helps.

Skills

PythonROSsimulationcomputer visioncontrolreinforcement learningedge deployment

A week, about 15 hours

Live on Zoom: 4h
Set reading and exercises: 6h
The project: 5h

1
Six deployed projects
Each graded by Nova against a published rubric and signed off by the instructor at the gate.
2
The twelve-week plan
Every week has its theme, its topics and what you build, published before you apply and taught live by your instructor.
3
Live on Zoom every week
A 90-minute live code review, a 60-minute squad lab, 60 minutes of office hours, and a 30-minute 1-1 with your instructor.
4
Your hiring plan
Opened in week 1 and reviewed in every 1-1: target roles, the gap map, the proof list, weekly actions, an interview log, the outcome.
5
The record
Every grade and every project with its repository at square1ai.com/u/{handle}, and the recording of your viva, verifiable by any employer.
6
The certificate
A credential ID that resolves at square1ai.com/verify to the real completion.
7
The hiring sprint
Weeks 11 and 12: CV and portfolio from graded work, applications, mock interviews scored against the role, demo day.
8
Nova for twelve weeks
A tutor with every submission of yours in its memory, at 2am as well as in class.

Twelve weeks in six parts.

Each part teaches for a week, then you build and deploy a project, then a gate checks it before the next part opens. The project and its gate are the part's entry on your record.

Live time each week on Zoom: a 90-minute class where the instructor reviews real submissions, a 60-minute squad lab, 60 minutes of office hours, and your own 30-minute 1-1. Nothing is lectured live; the recorded lessons do that.

Key skillsRobot simulatorsKinematics and control basicsSensors as data
Week 1
Simulation first
- Robot simulators
- Kinematics and control basics
- Sensors as data
You build: A simulated task
Week 2
Project 1: in simulation
- Repeatability
- Task definitions
You build: A simulated robot completing a task ten times in a row
Project 1 · the gate at week 2
In simulation
A simulated robot completing a task, with the code published
You hand in
- Simulation scene and task definition
- Task code repository
- Log of repeated runs
The gate
The task succeeds in simulation ten times in a row.

What you can do by week 12.

Six deployed perception, control and learning projects ending on real hardware, with the field-test report that separates a robotics engineer from a simulation enthusiast.

1
Simulate a robot completing a task with basic kinematics and control.
2
Build a perception pipeline from camera and depth data with SLAM and detection for grasping.
3
Build classical and learning-based controllers that stay within safety limits.
4
Train and evaluate policies with imitation and reinforcement learning, sim to real.
5
Deploy on real hardware and an edge device, and field-test it.
6
Defend a robotic system and its failure modes.

Roles this prepares you for

Robotics engineerPerception engineerControls engineerEmbodied AI engineer

No placement rate is shown, because there are no graduates to count yet. The roles above are what the projects are built for.

Your record at week 12.

Every exercise and project is graded by Nova against a rubric you can read, and every grade is kept on one page an employer can open and run. This is what the programme writes to it.

Graded, line by line: Nova reads every submission against the brief and the rubric and returns a score, what you did well and what to fix.
Six gates: A block does not open until the previous project passes its gate. You always know where you are and what is next.
A weekly 1-1: Thirty minutes with your instructor, who has already read your code before the call.
One page an employer can run: Every grade, project and the viva recording at /verify. An employer opens it, runs the code and watches you defend it.

Record, Physical AI and Robotics BootcampExample

Week 2
In simulation
The task succeeds in simulation ten times in a row
Graded, gate signed
Week 4
Perception
Detection accuracy reported on the recording
Graded, gate signed
Week 6
Control
The controller stays within safety limits under disturbance
Graded, gate signed
Week 8
The policy
The policy beats the classical controller on the task
Graded, gate signed

The entries, not the grades: those are yours to earn. The page lives at /verify and an employer needs no account to open it.

8 entries, twelve weeks. Reserving a spot holds the founding price.

Reserve a seat

How we help you find a job.

The last block is not curriculum. It is the hiring sprint, and the proof you built in the ten weeks before it.

The course booklet

The whole plan on a few pages: the parts, the projects, the gates and the price. We email it to you.

Get the booklet

1
Your hiring plan, from week 1
Six parts you and your instructor keep: target roles, the gap map from real postings, the proof to send, weekly actions, an interview log, the outcome. Read before every 1-1.
2
The hiring sprint
Weeks 11 and 12: CV, portfolio, applications, mock interviews, and demo day in front of hiring partners.
3
A record an employer can run
Your deployed projects and the recorded viva on /verify. An employer opens it, runs the code and watches you defend it.
4
The career agent
Paste a real job posting at /career and it maps the role to your graded work and what to do next.
5
The roles directory
Every role we prepare people for, what it pays and what it asks, at /roles.

Questions people ask.

About Physical AI and Robotics Bootcamp, answered from the plan on this page.

One cohort, one instructor. Hold your spot.

A cohort of 25, one instructor, 12 weeks, six things you ship. Spot holders hear the start date first, and nothing is charged before you confirm.

Six deployed perception, control and learning projects
A recorded viva
Your record on /verify

A$200~~A$400~~