SageMaker Batch Transform: offline predictions on a held-out test set, no persistent endpoint required. Not every prediction needs to happen in real time — this project is the cheaper, simpler path for the cases that do not, before the next project takes on the ones that do.
Knowing when batch transform beats a live endpoint is a cost-and-architecture judgment call that signals ML systems maturity, not just model-building skill.