Key Features
- Learn to integrate AI with traditional software architectures, enabling architects to design scalable, high-performance systems
- Explore key tools and processes to mitigate risks in AI-driven system development, ensuring timely project delivery and budget control
- Gain hands-on experience through case studies and exercises, applying architectural concepts to real-world AI systems
Who this book is for
This book is designed mainly for software and systems architects responsible for designing and integrating AI capabilities into existing and new systems. It also serves as a valuable resource for CTOs, VPs of Engineering, and aspiring architects seeking a comprehensive understanding of the holistic approach to AI system development. Additionally, AI/ML engineers and software developers will benefit from gaining deeper insights into the architectural principles that underpin AI systems, enabling them to align their work with broader architectural goals