Computer Vision Course
This course provides a comprehensive guide to developing PCB inspection systems using computer vision, covering the full pipeline from data preparation to production deployment and maintenance.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Computer Vision Course teaches you how to build strong PCB inspection systems from start to finish. You will cover image capture, optics, lighting, preprocessing, dataset creation, labelling, augmentation, board detection, defect segmentation, and post-processing. The course also includes deployment, monitoring, performance assessment, and ongoing improvements to help you create accurate and dependable visual inspection processes 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 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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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