Mastering Vision AI: From Models to Prompts to Multimodal
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About This Course
Computer vision has shifted dramatically — from CNNs trained on fixed label sets to foundation models that understand images through prompts, zero-shot generalization, and multimodal reasoning. This course takes you through that entire paradigm shift, module by module, with both theory and hands-on implementation.You'll start by understanding why attention-based architectures replaced CNNs, then go deep into the Vision Transformer (ViT) and Swin Transformer architectures — including how to fine-tune pre-trained ViTs on your own datasets. From there, you'll master end-to-end object detection wi...