Computer Vision Course
This course teaches end-to-end design of robust PCB inspection systems using computer vision techniques, covering image acquisition, preprocessing, detection, segmentation, deployment, and production monitoring for accurate visual pipelines.

4 to 360 hours flexible workload
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, labelling, 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 localisation.
- Build defect detection pipelines: small-part detection, segmentation, and rules.
- Optimise and deploy models: quantisation, 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 got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get 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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