Computer Vision & Robotics Course
Master computer vision for mobile robots. Learn detection, tracking, depth, and occupancy mapping, then deploy real-time systems on embedded GPUs for safe, reliable warehouse navigation—built for engineering professionals driving automation.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Computer Vision & Robotics Course gives you practical skills to build reliable mobile robots for real-world warehouses. Learn geometric vision, calibration, image formation, and robust feature extraction, then move into modern detection, tracking, segmentation, and depth estimation. You also master dataset design, synthetic data, deployment on embedded GPUs, safety-focused human detection, occupancy mapping, and seamless navigation integration.
Elevify advantages
Develop skills
- Vision geometry & calibration: build accurate camera models for mobile robots.
- Real-time detection: deploy fast YOLO-style models on embedded GPUs safely.
- Human tracking for safety: detect, track, and evaluate people around robots.
- Free-space & obstacle mapping: fuse RGB, depth, and lidar into occupancy grids.
- Dataset & domain adaptation: create, label, and adapt warehouse vision datasets.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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