What you will learn
- Fundamental computer vision concepts
- Image processing techniques
- Feature detection and extraction
- Object recognition basics
- Convolutional Neural Networks (CNNs)
- Image classification pipelines
- Real-world applications
Program Overview
Image Fundamentals
⏱️ 2 weeks
- Covers digital image representation, color spaces, and basic operations.
- Includes OpenCV Python implementations.
Feature Extraction
⏱️ 2 weeks
- Focuses on edge detection (Sobel, Canny), corner detection (Harris), and SIFT features.
- Features image stitching projects.
Deep Learning for Vision
⏱️ 2 weeks
- Teaches CNN architectures, transfer learning, and data augmentation.
- Includes PyTorch/TensorFlow implementations.
Application Development
⏱️ 2 weeks
- Examines face detection, optical character recognition, and medical imaging applications.
- Features end-to-end project.
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Job Outlook
- Professional value: Core AI/ML skill
- Salary potential: 100K200K for CV engineers
- Industry demand: 35% growth in computer vision roles
- Certification benefit: Pathway to advanced AI programs
Specification: Introduction to Computer Vision
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