This course is a comprehensive, end-to-end specialization in Computer Vision and Deep Learning. It begins by building a solid foundation in machine learning and neural networks, then progressively advances into convolutional architectures, modern detection and segmentation frameworks, generative models, and Vision Language Models (VLMs) — covering the field up to its current state of the art. Participants will develop both the theoretical understanding and the practical engineering skills needed to design, train, fine-tune, and deploy computer vision systems in real-world production environments. Every module is paired with hands-on labs using the latest tools and frameworks, and the course culminates in a set of capstone projects that mirror industry use cases across manufacturing, healthcare, retail, and media. By the time participants complete this track, they will have moved from understanding pixels to building intelligent visual systems that see, understand, and generate the world around them.