This open-source textbook from Harvard focuses on the engineering of end-to-end intelligent systems rather than just model training. It addresses the gap between building isolated models and deploying efficient, robust AI in the real world. The resource includes multiple volumes, labs, and a custom framework called TinyTorch to support practical learning.
- Shifts focus from model-centric to system-centric AI engineering practices.
- Covers design, deployment, and evaluation of real-world intelligent systems.
- Includes practical labs and a lightweight framework (TinyTorch) for experimentation.
- Aims to establish AI engineering as a core discipline alongside software engineering.
