Books and Resources on AI Engineering

Apart from staying up to date through websites there are a number of good books on AI Engineering. Here is a recommended reading list.

AI Engineering, Chip Huyen (2025, O'Reilly) - really good book on building systems on top of LLMs. Chip's Github is here.

Hands-On Large Language Models, by Jay Alammar and Maarten Grootendorst (O'Reilly) - uses Python to convey an understanding of how LLMs operate under the hood, covers similar ground to AI Engineering - definitely worth reading. It has quite a few text processing canned examples which are quite interesting.

Mathematics for Machine Learning, by Deisenroth et al. - not as directly connected to AI Engineering but good at explaining some of the underlying maths of ML intuitively (and in somewhat long winded fashion - at least from an engineering perspective).