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Compare	Computer Vision Support for AI Engineers
Level	Intermediate
Duration	12–18 hours
Format	Self-paced course
Access	Premium access
Skills	channels, height/width, normalization, batch dimension, kernel, stride, padding, feature maps, receptive field, conv blocks, activation, pooling, flattening, classifier head, dataset loading, augmentation basics, loss, optimizer, evaluation, feature extractor, fine-tuning, freezing layers, learning-rate differences
Modules	5
Prerequisites	PyTorch
Assessment	Course assessment
Certificate	Completion requirements apply