In this PyTorch tutorial, we explore Torchaudio and its functionality for working with audio data. Key topics covered include loading and saving audio files, transformations, resampling, data augmentation, feature extraction, and using Torchaudio datasets. The tutorial provides a comprehensive guide to effectively handling audio data in machine learning projects.