Computer Vision I: Introduction
Build a solid understanding of OpenCV tools used for Image Processing, Computer Vision, and Video Processing, and lay a strong foundation for solving Computer Vision problems.
Deep Learning With TensorFlow & Keras
Start solving Computer Vision problems using Deep Learning techniques and the TensorFlow framework. Study the architecture of Neural Networks and learn how to train them.
Deep Learning With PyTorch
Start solving Computer Vision problems using Deep Learning techniques and the PyTorch framework. Dive into the architecture of Neural Networks, and learn how to train and deploy them on the cloud.
Computer Vision II: Applications
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
OpenCV For Beginners
Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.
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