Scalable AI Models with PyTorch Lightning

Course overview

Design and optimization of scalable models with PyTorch Lightning: LightningModule architecture, data handling with LightningDataModule, DataLoader creation, validation and optimizations such as quantization and pruning.

Explains PyTorch Lightning architecture and using LightningModule to define reusable models.

Demonstrates data structuring with LightningDataModule, creating DataLoaders and integrating validation and testing phases.

Covers scalability optimizations: dynamic quantization, comparing quantized model performance and model pruning techniques.