Implement a data loader that batches and shuffles a dataset, and explain efficient input pipelines.

Data loading is where training pipelines silently bottleneck. The signal is a correct shuffle-then-batch iterator plus knowing why prefetching and parallel loading keep the GPU fed.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.