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Computer Vision Python Course

Computer Vision Python Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches building reliable image processing workflows using Python. You will learn OpenCV for image handling, NumPy for arrays, and ML models for classification and detection. It covers dataset design, model training, evaluation, inference pipelines, and deployment via CLI, REST APIs, containers, and CI/CD basics.

Elevify advantages

Develop skills

  • Build efficient OpenCV pipelines for image input, transformations, filtering, and annotations.
  • Develop Python inference systems with preprocessing, batching, and error management.
  • Train lightweight CV models using scikit-learn, transfer learning, and detection techniques.
  • Create dependable data workflows including splitting, augmentation, metrics, and evaluation.
  • Deploy CV applications with CLIs, REST APIs, Docker containers, and basic CI/CD processes.

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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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