The Ultimate AI Engineering Bible
The Complete Guide to Designing, Deploying, Scaling, Optimizing, and Maintaining Production AI Systems
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Narrated by:
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Rory Young
About this listen
Build AI Systems That Actually Work in Production
Artificial intelligence is everywhere — yet most AI projects never make it to real-world deployment.
Why?
Because building production-grade AI systems requires far more than training a model. It requires reliable data pipelines, scalable architecture, efficient infrastructure, and long-term operational strategy.
The Ultimate AI Engineering Bible provides a complete blueprint for designing, deploying, scaling, and maintaining real AI systems.
Inside this guide, you'll learn how to:
• Define AI problems that deliver measurable business value
• Build robust data pipelines and scalable data infrastructure
• Train models while balancing accuracy, cost, and latency
• Architect modular AI systems using APIs and microservices
• Deploy models with modern infrastructure and CI/CD pipelines
• Scale AI workloads efficiently without exploding costs
• Monitor models, detect drift, and maintain long-term reliability
• Secure AI systems with production-grade governance and compliance
If you want to move beyond experiments and build AI systems that scale, perform, and survive in production, this book gives you the engineering blueprint.
©2026 Anthony J. Steward (P)2026 Anthony J. Steward