Full course description
This course is designed to provide a comprehensive foundation in Computer Vision, equipping participants with the knowledge and hands-on experience needed to understand and implement cutting-edge vision technologies. Learners will explore fundamental concepts such as image processing, deep learning, and generative AI, applying these techniques to real-world applications like object detection, image segmentation, and data preprocessing. The course covers essential tools and frameworks, including OpenCV, YOLO, TensorFlow, and Keras, enabling participants to develop and deploy Computer Vision models. Through practical labs and projects, learners will gain experience in building convolutional neural networks (CNNs), training GANs for image synthesis, and leveraging pre-trained models for efficient AI solutions. Additionally, the course delves into Edge AI, IoT integration, and model deployment using Intel® DevCloud, while addressing key ethical considerations and advancements shaping the future of Computer Vision.