Computer Vision Fundamentals
Enter the fascinating world of computer vision and learn to build AI systems that can see, understand, and interpret visual information. This comprehensive course covers everything from basic image processing to advanced deep learning techniques for vision tasks.
Master the skills needed to build applications for object detection, image classification, facial recognition, and more. Work with real-world datasets and learn industry-standard tools and frameworks used by leading companies.
What You'll Learn
- Image processing fundamentals and OpenCV
- Convolutional Neural Networks architecture and design
- Image classification and object detection
- Semantic segmentation and instance segmentation
- Face detection and facial recognition systems
- Image generation with GANs
- Transfer learning and fine-tuning pre-trained models
- Real-time video processing and analysis
- Deployment of computer vision models
Course Overview
Computer Vision Fundamentals provides a comprehensive introduction to the field of visual AI. You'll learn both classical computer vision techniques and modern deep learning approaches, giving you a complete understanding of how machines can perceive and understand visual information.
Through hands-on projects, you'll build practical applications including image classifiers, object detectors, face recognition systems, and more. The course emphasizes real-world applications and industry best practices.
Duration: 9 weeks (7-9 hours per week)
Level: Intermediate
Prerequisites: Python programming, basic machine learning, and linear algebra
Certificate: Professional certificate upon completion
Course Curriculum
Weeks 1-3: Image Processing and Classical CV
Fundamentals of digital images, filters, edge detection, feature extraction, and traditional computer vision techniques using OpenCV.
Weeks 4-6: Deep Learning for Vision
CNNs architecture, image classification, object detection with YOLO and R-CNN, and semantic segmentation techniques.
Weeks 7-9: Advanced Applications
Face recognition, image generation with GANs, video processing, and deploying computer vision models in production environments.
Your Instructor
Learn from computer vision experts who have worked on cutting-edge projects in autonomous vehicles, medical imaging, and consumer applications. Our instructors combine academic research experience with practical industry knowledge.
Receive personalized guidance on your projects and join a community of vision AI practitioners from around the world.