Computer Vision Course
This course provides comprehensive training on developing PCB inspection systems using computer vision techniques, covering the entire pipeline from image capture to deployment and maintenance.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Computer Vision Course teaches you to build strong PCB inspection systems from start to finish. You will learn about capturing images, optics, lighting, preprocessing, designing datasets, labelling, augmentation, detecting boards, segmenting defects, and post-processing. The course also includes deployment, monitoring, evaluating performance, and ongoing improvements to create accurate and reliable visual inspection systems quickly.
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 the 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 having 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 extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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