Computer Vision enables machines to interpret and understand visual data. This course teaches you how to develop AI systems that analyze and process images and videos. From facial recognition to object detection, learn the key techniques powering applications like self-driving cars and medical imaging.
This course covers fundamental to advanced concepts in Computer Vision, including image processing, deep learning techniques, and real-world applications. You will explore frameworks like OpenCV, TensorFlow, and PyTorch, working on hands-on projects that build intelligent visual systems.
- Fundamentals of Computer Vision and image processing.
- Feature extraction and object detection techniques.
- Deep learning for image recognition using CNNs.
- Implementing real-time image classification and tracking.
- Applications in healthcare, security, and autonomous systems.
Receive a Techbriq certification validating your skills in Computer Vision. This certificate demonstrates your ability to build AI-powered vision systems for real-world applications.
- Basics of image processing
- Applications of computer vision
- Introduction to OpenCV
- Edge detection and segmentation
- Object tracking techniques
- Image classification using deep learning
- CNN architectures for image recognition
- Transfer learning and fine-tuning models
- Real-time object detection and tracking
- Face recognition application
- Self-driving car simulation
- Image captioning with deep learning
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