Computer Vision Course
Master computer vision for PCB inspection. Learn imaging, datasets, YOLO and U-Net–based defect detection, deployment, and monitoring to build robust, real-time quality control systems for modern electronics manufacturing.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Computer Vision Course shows you how to design robust PCB inspection systems from end to end. You will learn image acquisition, optics, lighting, preprocessing, dataset design, labeling, augmentation, board detection, defect segmentation, and post-processing. The course also covers deployment, monitoring, performance evaluation, and continuous improvement so you can build accurate, reliable visual inspection pipelines fast.
Elevify advantages
Develop skills
- Design PCB vision datasets: label, augment, and balance real and synthetic data.
- Implement robust board detection: classical CV plus YOLO-based localization.
- Build defect detection pipelines: small-part detection, segmentation, and rules.
- Optimize and deploy models: quantization, edge inference, and real-time tuning.
- Operate production vision systems: monitor drift, KPIs, and safe rollbacks.
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 chance to follow several topics I'm interested in without needing to switch platforms... I appreciate everything you do, I've already recommended you to others...

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 way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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