Starts August 2
Beginner level
Robotics
Foundations
Evaluate a robot as a physical system and a business case: architecture, autonomy, evidence, safety, and deployment economics.
Robot as a system
Demo vs deployment
Market and economics
Final dossier
TrackBuild technical and product literacy for evaluating robots without installing ROS or working with hardware. Break a system into task, environment, mechanics, sensing, and control; audit demos and public claims; then assess safety, uptime, CAPEX/OPEX, RaaS, and ROI. The capstone is a Robotics Dossier for a pilot decision.
- Separate robotics and physical AI from ordinary automation and software agents
- Decompose a robot into task, environment, mechanics, actuators, sensing, control, and fallback
- Compare AMRs, AGVs, industrial, medical, field, aerial, quadruped, and humanoid robots
- Understand perception, localization, SLAM, manipulation, locomotion, ROS 2, and simulation
- Audit demos, job postings, and company claims against sources and missing metrics
- Evaluate safety, liability, CAPEX/OPEX, RaaS, uptime, and pilot ROI
- Build a Robotics Dossier with system architecture, market, risk, economics, and recommendation
Robotics Foundations
Who this is for
Product managers, founders, and strategists evaluating robotic products and pilots
AI practitioners and technical managers studying the boundary between models and physical systems
Analysts, investors, business-development, and operations teams checking markets and public claims
Adjacent engineers who need the vocabulary of sensing, control, ROS 2, safety, and fleet operations
People who need a Robotics Dossier without mandatory code, simulation, or hardware
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Curriculum
Eight modules move from an industry map to robot architecture, autonomy stack, market, economics, and the Robotics Dossier.
01
Robotics Map
02
Robot as a System
03
Robot Types
04
How Robots Perceive and Act
05
Software and Autonomy Stack
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Format
Short lessons, artifact-based practices, common-sense tests, and a capstone project instead of a heavy hardware lab.
- Bite-sized lessonsEach step gives you a mental model, a short check, and a concrete artifact.
- Lightweight practiceInstead of installing ROS, you build anatomy cards, stack maps, demo reviews, economics snapshots, and evidence reviews.
- Final Robotics DossierThe course converges into a concise memo: what the robot does, where the risk is, who pays, and which sources support the statement.
CommunityYou do not need to install a simulator, connect hardware, or write a control node. You move like a product-and-systems analyst: read a public robotics statement, unpack the robot layer by layer, check deployment reality, and leave one small artifact each time. By the end, those artifacts become your Robotics Dossier.
What you will do during the course
01
Review public materials
Take a demo, product page, or news item and separate evidence from promise.
02
Build system maps
Track task, environment, sensing, actuation, control, safety, remote ops, and economics.
03
Check deployment math
Look at uptime, payback, nearby humans, service model, and cost of failure, not only the technology.
What you leave with
A working vocabulary and a set of artifacts for reviewing robotics products, companies, and operations pilots.
Robotics literacy
Understand conversations about sensors, control, autonomy, fleet ops, teleoperation, safety, and deployment friction.
Demo review
Ask better questions about a video, pitch, job post, product page, or pilot.
Robotics Dossier
Use the final memo as a calm example of how you analyze a robotics case.