PyTorch train loop from scratch - from local to distributed

Dive into PyTorch internals by live coding a training loop from scratch. We’ll start simple then level up, going from a basic local loop to a scalable distributed pipeline. See how the sausage is made as we build blocks like optimization, serialization, checkpointing, and broadcasting. Monitor model convergence graphs in real-time as we train a transformer language model on custom datasets. By the finale of this hands-on coding session, you’ll have the skills to launch robust distributed PyTorch jobs on the cloud, opening doors to cutting-edge AI and impactful model building.