Engineering Intelligent Systems
Designing, Building, and Deploying Modern Artificial Intelligence
Engineering Intelligent Systems
Designing, Building, and Deploying Modern Artificial Intelligence
Moody Amakobe · First Open Edition · 2026
Artificial intelligence as an engineering discipline
Engineering Intelligent Systems is a systems-oriented introduction to artificial intelligence. It connects foundational algorithms and representations to the practical work of designing, evaluating, deploying, and governing intelligent systems.
The book is written for graduate and advanced undergraduate students, instructors, technical professionals, and independent learners with basic programming literacy. Familiarity with introductory algebra, probability, and statistics is helpful.
What readers will learn
- Formulate intelligent behavior through agents, search, knowledge, planning, and uncertainty.
- Build and evaluate supervised, unsupervised, neural, and reinforcement learning systems.
- Understand modern language, vision, transformer, and generative AI architectures.
- Connect models to production systems through architecture, deployment, monitoring, and MLOps.
- Evaluate fairness, safety, accountability, governance, and human consequences throughout the system lifecycle.
An open textbook
This First Open Edition is available under the Creative Commons Attribution 4.0 International license. Readers may share and adapt the material with appropriate attribution.