5
PyTorch Fundamentals
The research-first deep learning framework — tensors, models, and training
5 lessons245 min totalintermediate
1
Tensors & Automatic Differentiation
PyTorch tensors, operations, GPU computing, and the autograd engine
2 exercisesQuiz45m
2
Building Models with nn.Module
Create neural networks by subclassing nn.Module — layers, parameters, and model composition
2 exercisesQuiz50m
3
Training Loops & Data Loading
Datasets, DataLoaders, the training loop pattern, schedulers, and mixed precision
2 exercisesQuiz55m
4
Computer Vision & Audio with PyTorch
Image classification, transfer learning, audio processing, and data augmentation pipelines
2 exercisesQuiz50m
5
PyTorch Lightning & Modern Tooling
Reduce boilerplate with Lightning, scale to multiple GPUs, and export models with ONNX
2 exercisesQuiz45m