This article introduces a comprehensive resource for learning AI engineering, focusing on building efficient and reliable intelligent systems. It offers a textbook, hands-on activities, and hardware kits, emphasizing real-world application and constraints. The goal is to train engineers who can create dependable AI systems.

The article discusses the concept of an AI engineering stack, outlining the various components and tools necessary for building and deploying AI systems effectively. It emphasizes the importance of a structured approach to integrate AI into existing workflows and highlights key technologies that facilitate this process.