AI engineering is not machine learning research and it is not ordinary software engineering. It is the discipline of building reliable, production-grade systems on top of models you did not train and cannot fully predict.

The hard part is not calling an API. It is making something non-deterministic behave well enough to ship: handling the times the model returns the wrong shape, hallucinates, or costs ten times what you expected.

This course is about that reliability layer - the engineering around the model, not the model itself. Hold that framing, because every week is a different facet of making an unpredictable component dependable.