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Intermediate Certificate

Computer Vision with Python

Learn to build computer vision applications from scratch. This course covers image processing, object detection, image segmentation, and more using OpenCV and deep learning frameworks.

4.7(1,567 reviews)

9,872 students28 hoursUpdated January 2026

James Miller

CV Engineer at 1.ML

Free

Full access to all content

Duration28 hours

Lessons75

LevelIntermediate

LanguageEnglish

CertificateIncluded

What You'll Learn

Image processing fundamentals with OpenCV

Feature extraction and matching

Object detection with YOLO and Faster R-CNN

Image segmentation techniques

Face recognition systems

Deploy CV models in production

Requirements

Python programming
Basic understanding of neural networks
Linear algebra basics
A computer with GPU (recommended)

Course Curriculum

Introduction to OpenCVFREE

45:00

Image ManipulationFREE

1:00:00

Filters and Transformations

1:15:00

Edge Detection

50:00

Instructor

James Miller

CV Engineer at 1.ML

James Miller is a Computer Vision Engineer at 1.ML with expertise in real-time object detection systems. He has built CV pipelines processing millions of images daily and loves teaching practical, production-ready techniques.