Engineering AI Systems: Architecture and DevOps Essentials
Description
Dive into Engineering AI Systems: Architecture and DevOps Essentials and master the art of AI systems engineering. This comprehensive guide merges robust software architecture with the latest DevOps practices to create scalable, high-quality AI solutions. Authored by experts Len Bass, Qinghua Lu, Ingo Weber, and Liming Zhu, this book offers practical strategies and tools for integrating AI seamlessly into your systems. Through real-world case studies, learn to design, build, and operate AI systems that deliver tangible business value. Stay ahead in the tech landscape with insights on system reliability, performance, security, and future trends in AI engineering.