Books 1 & 2 Available Now — Book 3 is coming in 2026.
The Adaptive AI Codex Series
Build It. Break It. Defend It.
A practical, code-first series for anyone interested in building, understanding, and securing AI systems — by Eric Yocam PhD, DBA.
Three books, one continuous journey. Book 1 builds real AI models from the ground up, from classical machine learning through generative and quantum AI. Book 2 attacks every one of those models with real, executed code, verified against the actual notebook. Book 3 closes the loop, turning every mitigation preview from Book 2 into a full defense.
The Three Books
Book 1 · Available Now
The Applied AI Universe Coding Guide
A complete hands-on handbook covering AI fundamentals: Machine Learning, Neural Networks, Deep Learning, Generative AI, and Hybrid Quantum-Classical systems.
Book 2 · Available Now
The Applied AI Universe Coding Guide: Adversarial Attacks
Explore how AI models can be fooled and compromised in practice. Hands-on techniques for adversarial examples, poisoning attacks, evasion methods, and real-world vulnerabilities.
Book 3 · Coming in 2026
The Applied AI Universe Coding Guide: Adversarial Defenses
Master practical strategies to build more robust and secure AI systems, including adversarial training, detection methods, and defensive architectures.
The Guiding Philosophy
The Adaptive AI Codex Series is built upon three principles:
- Practical - Every concept is reinforced through working code and hands-on experimentation.
- Accessible - Complex topics are explained clearly without sacrificing technical accuracy.
- Security-Aware - Understanding how systems fail is essential for building systems that can be trusted.