AI.
AI you can touch.
Hardware-based AI — computer vision, edge inference and running models on Raspberry Pi and Jetson.
PythonOpenCVTensorFlow LitePyTorchRaspberry Pi 5Jetson Nano
Key outcomes
What you'll walk away with.
- Train & deploy CV models
- Quantize models for edge devices
- Run inference on Pi / Jetson
- Integrate AI with motors / robots
- Present a vision-guided demo
Projects you'll ship
Real builds, not slides.
- Project 01Face / gesture-controlled robot
- Project 02Object-detection surveillance camera
- Project 03AI-vision pick-and-place arm
Pick your duration
45 days, 3 months, or 6 months.
Same lab, same mentors — different depth. Match your university mandate or your ambition.
Duration
45 days
15–20 hrs / week
Fast sprint. One shippable prototype.
- Week 1–2: Python + OpenCV pipelines
- Week 3–4: Train a CV model + deploy on Pi
- Week 5–6: Vision-guided robot demo
Most picked
Duration
3 months
18–22 hrs / week
Deep dive. Two projects + capstone.
- Month 1: Vision fundamentals
- Month 2: Edge deployment + quantization
- Month 3: AI + robot integration capstone
Duration
6 months
20–25 hrs / week
Immersion. Portfolio-grade capstone with client demo.
- Month 1–2: Vision + classic ML
- Month 3–4: Deep learning on edge devices
- Month 5–6: End-to-end AI-robotics product
Where this leads
Roles our alumni step into.
Edge AI EngineerComputer Vision EngineerAI + Robotics Specialist