AI & Machine LearningIntermediateFREE

Computer Vision

Teach machines to see. From pixel manipulation and classical image processing to deep convolutional networks, object detection, and real-world applications including medical imaging and autonomous vehicles.

12 hours

12 lessons

Certificate included

Instructor

JP Instructor

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This course includes:

12 hours of comprehensive lessons
Hands-on coding exercises and challenges
Code examples with syntax highlighting
Certificate of completion
Lifetime access to all content
Mobile-friendly, works offline

Course Curriculum

Module 1: How Computers See

Understand images as data and the fundamentals of digital image representation.

3 lessons

Images as Arrays of Numbers

Preview

10 minutes

Preview Lesson

Colour Spaces and Transformations

Preview

12 minutes

Preview Lesson

Basic Image Operations

12 minutes

Module 2: Classical Computer Vision

Techniques developed before deep learning that still underpin modern pipelines.

3 lessons

Filtering and Edge Detection

14 minutes

Feature Extraction

14 minutes

Sliding Window and Template Matching

12 minutes

Module 3: Deep Learning for Vision

How convolutional neural networks transformed computer vision.

3 lessons

Image Classification

16 minutes

Object Detection

16 minutes

Semantic and Instance Segmentation

14 minutes

Module 4: Real-World Applications

Where computer vision is actually deployed today.

3 lessons

Face Recognition and Biometrics

12 minutes

Medical Imaging AI

14 minutes

Autonomous Vehicles and Robotics

14 minutes

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