Computer Vision Course
This course equips you with practical skills to build end-to-end PCB inspection systems using computer vision, covering everything from data preparation to production deployment.

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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

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

André FelipePrompt Engineering Student
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