PHYSICAL AIANDROBOTICS
Industry-Integrated Program
Meet our Industry Partner —Surge Robotics
We've developed this program in collaboration with Surge Robotics, a robotics engineering company in Sri Lanka. Their engineers help shape the curriculum and projects, while bringing real industry experience into the classroom through hands-on workshops and practical training at their robotics facility.
From your first kitto a workingrobotics system
Start Building from Home Kits
Build AlongsideRoboticsEngineeringTeams
//////////////////////////////////////////Work with Industrial Systems
Work in Teams. Build a Demo-Ready Physical AI System.
Physical AI is the next big boom in tech
AI that runs inside a machine. It senses the real world, decides what to do and moves to do it, so robots, vehicles and factory systems can work in real places alongside people.
Google DeepMind
NVIDIA
Physical IntelligenceNVIDIA
FigureGoogle DeepMind
Boston DynamicsGoogle DeepMind
AnthropicGoogle DeepMindNVIDIAPhysical IntelligenceNVIDIAFigureGoogle DeepMindBoston DynamicsGoogle DeepMindAnthropic
“The ChatGPT moment for physical AI is here.”
Jensen Huang, CEO, NVIDIA · CES keynote, January 2026
How a Physical AI system works
05 LAYERS // CLOSED LOOP ↺Physical AIIn theReal World.
From manufacturing and warehouses to healthcare and transportation, Physical AI is helping machines perform real-world tasks with greater intelligence and autonomy.
Where can yourPhysical AItrainingtake you?
Embedded Systems / Automation Engineer
Build the software and electronics layer connecting microcontrollers, sensors, actuators and edge-compute hardware.
for experienced engineers
with no experience
Robotics Software Engineer
Build the perception, control and ROS 2 software that runs real robots, from vision models to motion and safety logic.
for experienced engineers
with no experience
Mechatronics Engineer
Design and integrate mechanical, electronic and software systems into robotic and automated products.
for experienced specialists
with no experience
Our top-performersarehired by
Projects you'llbuild
Throughout the program, you'll work on hands-on projects that bring together electronics, programming, AI and robotics, progressing from smaller builds to a complete team-based automation system.
AI PERCEPTION & SORTING APPLICATION
Take a working camera-and-sorting system, improve how it recognises objects, teach it to reject inputs it shouldn't trust, and prove the results on real hardware.
AUTONOMOUS MOBILE ROBOT CHALLENGE
With your team, program a mobile robot to complete a delivery mission reliably: closed-loop motion, obstacle stops and safe handling when communication drops.
INTEGRATED PHYSICAL AI CAPSTONE
Choose a track (inspection and sorting, vision-guided robot arm, or autonomous visual navigation) and build a system where an AI model drives real physical action. Test it, document it and demo it live.
Simulate your robots in virtual environments
Train robots in realistic virtual worlds using NVIDIA Isaac Sim, Gazebo and MuJoCo, then deploy to real hardware.
EXPLORE THE SIM MODULEWork with theEngineeringstack.
+
ARDUINO C+++
PYTHON+
OPENCV+
RASPBERRY PI+
NVIDIA JETSON+
LINUX+Curriculum
Seven modules across 32 weeks, each one building on the last. You start by running a working system, then learn what makes it work and take it further, with a checkpoint at every stage.
Physical AI Systems & Perception
01Weeks 1–8. Start with a working camera-and-sorting system: run it, change how it behaves and test it, then open up its perception pipeline and train a model of your own.
Embedded Control & Mobile Robots
02Weeks 9–16. Trace the signals between controller, sensors and motors, write reliable embedded code, then take a mobile robot from route commands to closed-loop control.
Robot Arms, ROS 2 & Simulation
03Weeks 17–24. Program a desktop robot arm from taught positions to vision-guided picking, then structure robot software with ROS 2 and run the same task in simulation and on hardware.
Robot Learning & Capstone
04Weeks 25–32. Compare learned policies with programmed rules, add a safe language interface, then integrate everything into a team capstone that you test, document and demo live.
Physical AI Systems & Perception
Weeks 1–8. Start with a working camera-and-sorting system: run it, change how it behaves and test it, then open up its perception pipeline and train a model of your own.
Embedded Control & Mobile Robots
Weeks 9–16. Trace the signals between controller, sensors and motors, write reliable embedded code, then take a mobile robot from route commands to closed-loop control.
Robot Arms, ROS 2 & Simulation
Weeks 17–24. Program a desktop robot arm from taught positions to vision-guided picking, then structure robot software with ROS 2 and run the same task in simulation and on hardware.
Robot Learning & Capstone
Weeks 25–32. Compare learned policies with programmed rules, add a safe language interface, then integrate everything into a team capstone that you test, document and demo live.
Physical AI
& Robotics
Certification
& RoboticsSTEMLINK × SURGE ROBOTICS
Download theFullcurriculum
& Robotics
Certification
Physical AI& RoboticsPROGRAM SYLLABUS
Developed with engineers from Surge Robotics. The full syllabus covers every module, the tools and hardware you will use, and the builds you complete at each stage.
DOWNLOAD CURRICULUMProgress from fundamental physical-system thinking to integrated robotics, vision and AI.
Each module builds on the previous one, progressively connecting software, electronics, sensing, control, vision and intelligence.
Move from an individual AI perception app to a team mobile-robot challenge and an integrated Physical AI capstone.
What makes this the#1 Physical AIexperience in
CURRICULUM DESIGNED WITH INDUSTRY
Program structure and technical direction validated with Surge Robotics.
BUILD FOR REAL INDUSTRIAL REQUIREMENTS
Systems and project requirements shaped around real robotics engineering practices.
ENGINEERING MENTORSHIP DIRECTLY FROM COMPANIES
Technical sessions, reviews and guidance from practicing engineers.
INDUSTRIAL SYSTEMS EXPOSURE
Hands-on work with mobile robots, robot arms, machine vision and edge-AI hardware such as NVIDIA Jetson.
WORK IN ENGINEERING ENVIRONMENT
Workshops and sessions conducted around real robotics development environments where relevant.
Engineering is learnedbybuilding.
Move from engineering fundamentals to working Physical AI systems through hands-on builds, industry workshops, integrated hardware and real project demonstrations.
DedicatedCareer Coaching
Backed by 600+ Career Placements in the Past 24 Months
talent locally & globally
into leading companies
A Battle-Tested Career Framework to Get You Job-Ready
- 01CV Customization
- 02Portfolio Refinement
- 03Interview Preparation
- 04Knowledge Gap Filling
- 05Job Referrals & Opportunity Matching
The
Career Camp
Will you be certified?Of course. It’ll look great on your resume andon your resume andLinkedIn
stemlink.online/verify
Your path intoPhysical AIstarts here.
3 Month Plan
Upfront Payment
4 Month Plan
100% refund if you withdraw in your first 2 weeks.
What's included in your program fee?
- 01Personal ESP32 Practice Kit — Board, Distance Sensor, LEDs, Servo, Breadboard & Components
- 0232 Weeks of Online & In-Person Training
- 03Access to Mobile Rovers, Vision Stations, Desktop Robot Arms & Edge-AI Hardware for Labs & Team Projects
- 0416 Hands-On Lab Sessions in Real Robotics Engineering Environments at Surge Robotics
- 05Personalized Engineering & Project Support from Dessina.co
What's included in your program fee?
- 01Personal ESP32 Practice Kit — Board, Distance Sensor, LEDs, Servo, Breadboard & ComponentsINCLUDED
- 0232 Weeks of Online & In-Person TrainingINCLUDED
- 03Access to Mobile Rovers, Vision Stations, Desktop Robot Arms & Edge-AI Hardware for Labs & Team ProjectsINCLUDED
- 0416 Hands-On Lab Sessions in Real Robotics Engineering Environments at Surge RoboticsINCLUDED
- 05Personalized Engineering & Project Support from Dessina.coINCLUDED
Don’t listen to us.Listen to theirsuccess stories
“The first industry experience I got from zone24x7 wouldn't have been possible without STEM Link”
From confused undergrads tosoftware engineers,they grew with us
They helped me a lot in securing my internship as a Full Stack Developer. I'm incredibly grateful to StemLink for all the support and guidance throughout the process.
Jehan FernandoicieosThe programme gave me some much-needed encouragement during a stressful phase in my internship search. The team was really kind and supportive throughout.
Nilni DivyanjalihSenid Mobile SolutionsAn incredible learning experience with clear, methodical teaching. Manupa and Dilshara explained complex topics well, making the MERN stack approachable. Their structured approach and support helped me gain confidence in full-stack development.
Tharusha KulasinghePurple Software