Applied AI Engineering · Volume IV
Production Systems
Deploying, Securing, and Operating AI at Scale
Planned Chapter plan approved. Drafting begins after Volume III.
About this volume
Volume IV is the operations volume: deployment, inference optimization, security, observability, governance, cost, and the full lifecycle of a model in production.
Prompt injection, red-teaming, human-in-the-loop approval gates, model migration, and regulatory compliance are treated as core engineering concerns rather than appendices.
Mission
Run an AI system in production without it hurting anyone.
Prerequisites. Volumes I to III, or equivalent production engineering experience.
Details
| Series | Applied AI Engineering, Volume IV |
|---|---|
| Author | Dr. Ahmed AlSalih |
| Publisher | Nexoma Labs LLC |
| Edition | First Edition |
| Chapters | 22 |
| Difficulty | Advanced to Professional |
| Formats | Paperback, Hardcover, Kindle, EPUB, PDF |
| Status | Planned |
Contents
22 chapters. Chapter numbering restarts at 1 in every volume; cross-volume references are written as Volume III, Chapter 4.
- Production AI Architecture
- AI System Design
- Model Deployment
- Inference Optimization
- Performance Engineering
- Caching and Batch Strategies
- Prompt Injection and Agent Security
- Red-Teaming AI Systems
- Privacy and Data Protection
- Human-in-the-Loop and Approval Gates
- Observability and Tracing
- Monitoring and Alerting
- Production Evaluation
- Regression Testing and CI for AI Systems
- Model Migration and Deprecation
- Cost Optimization
- Scalability
- Reliability and Failure Design
- AI Governance
- AI Regulation and Compliance
- Enterprise Workflows and Integration
- Final Capstone Project
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