AI ENGINEERING HANDBOOK SERIES

Three volumes. One engineering path from foundations to production intelligence.

A three-book engineering roadmap for building, scaling, and governing modern AI systems, from foundational concepts to agentic AI, production systems, specialized agents, and multi-agent architecture.

AI Engineering Handbook Book 1 by Mahsa Keikha, PhD
Volume 1

Foundations and Core AI Components

Build a strong foundation in AI engineering. Understand the core components, system concepts, data, models, evaluation, and engineering thinking behind modern AI systems.

AI Engineering Handbook Book 2 by Mahsa Keikha, PhD
Volume 2

Agentic AI and Engineering Practice

Move from AI components to intelligent agents. Learn how to build, orchestrate, evaluate, and operate agentic AI systems with engineering rigor, safety, and human oversight.

AI Engineering Handbook Book 3 by Mahsa Keikha, PhD
Volume 3

Production AI and Multi-Agent Architecture

Build and scale reliable AI systems with production architecture, specialized agents, multi-agent coordination, observability, governance, and advanced modernization.

Coming Soon

How the books and the Atlas work together

The AI Engineering Handbook Series teaches the concepts, patterns, and engineering principles. The Multi-Agent AI Atlas lets readers explore those ideas through visible architectures, simulations, evidence, agent handoffs, and human decision boundaries.