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Bootcamp Overview

A full breakdown of both days — what's covered, when, and what you'll walk away with.

At a Glance​

Duration2 Days
Hours9:00 AM – 4:00 PM each day
FormatTheory + Hands-on Practicals
Batch SizeMax 20 students
Final OutputWorking Physical AI system + documentation

Workshop Schedule​

DaySessionTypeDescription
DAY 1 — Foundations of Physical IntelligenceSession 1 — Introduction to Physical AITheoryWhat is Physical AI? How does it differ from software-only AI? Sensor → Model → Decision → Actuator architecture. Real-world examples and why it matters now.
Session 2 — Edge Computing FundamentalsTheoryCloud AI vs. Edge AI. Latency, privacy, and power trade-offs. Why inference on-device changes everything for robotics and embedded systems.
Session 3 — Embedded Systems with Arduino QPracticalHands-on with the Arduino Q board. IDE setup, uploading code, reading sensors, controlling outputs, serial monitor debugging.
Session 4 — TinyML SimplifiedTheory + PracticalWhat TinyML is and how it works. Using Edge Impulse to collect data, train a model, and deploy it to Arduino Q — without needing to write ML code from scratch.
Session 5 — Guided Physical AI ProjectTheory + PracticalFollow a complete guided project as a group. Experience the full pipeline: sensor data → Edge Impulse → trained model → Arduino Q → actuator response.
Session 6 — Project Ideation & System DesignTeam/DesignTeams form and brainstorm their Day 2 project. Define the problem, choose sensors and actuators, sketch the system architecture (Sensor → Model → Decision → Actuator).
DAY 2 — Build & ShowcaseRecap & Architecture ReviewDiscussionQuick recap of Day 1 concepts. Teams present their system design for feedback before building.
Build PhasePracticalTeams build their Physical AI systems. Facilitators help debug hardware and code issues.
Testing & DocumentationPracticalRigorous testing. Document the project on hackster.io or Arduino Project Hub with photos, code, and a description.
Project DemonstrationsPresentationEach team presents their working system. Live demo + explanation of architecture and challenges.
Awards & CertificationAwardsBest projects recognised. Certificates issued to all participants (Salman × Robu × Arduino).

Tools & Platforms​

ToolPurpose
Arduino IDE 2.xWrite and flash code to Arduino Q MCU
Arduino App LabWrite and flash code to Arduino Q
Edge ImpulseCollect data, train and deploy TinyML models
Arduino Project HubDocument and share your project
VS CodeIDE for Arduino Q and SSH
Arduino CLICommand line tool for Arduino Q

Pre-Requisites (Before You Arrive)​

Next Steps​