Artificial Intelligence Engineering Foundations: A Beginner-Friendly Guide to Machine Learning Systems, Data Pipelines, Model Deployment, and Modern A

By Erik F. Ackermann

Artificial Intelligence Engineering Foundations provides a practical introduction to the concepts, tools, and engineering practices behind modern artificial intelligence systems. This book is designed for students, software developers, engineers, and technology professionals who want to understand how AI solutions are designed, built, deployed, and maintained in real-world environments.

The book begins with the foundations of artificial intelligence and machine learning, explaining essential concepts, learning approaches, model development processes, and the role of AI engineering in modern software systems. It then explores the complete journey of building intelligent applications, from collecting and preparing data to training models, evaluating performance, and integrating AI capabilities into production environments.

Readers will learn about:

- Machine learning systems and development workflows
- Data collection, processing, validation, and pipeline design
- Feature engineering and model evaluation techniques
- Machine learning deployment strategies and model serving
- APIs, cloud infrastructure, containers, and scalable AI applications
- MLOps practices for managing machine learning systems throughout their lifecycle
- AI security, privacy protection, responsible AI, and ethical engineering principles
- End-to-end AI system architecture and production practices
- Emerging trends shaping the future of artificial intelligence engineering

Artificial Intelligence Engineering Foundations focuses on practical understanding rather than isolated theory. It explains how different components of AI systems work together, helping readers develop a stronger foundation for designing reliable and maintainable intelligent applications.

Whether you are beginning your journey into artificial intelligence, expanding your software engineering skills, or seeking a broader understanding of production AI systems, this book provides a structured guide to the technologies and practices that support modern AI development. Are you ready scroll up to obtain your copy now.

• Format: Paperback
• Language: English
• ISBN: B0HCV3KRV1
• ISBN13: 9798190300017
• Release Date: August 2026
• Publisher: Independently Published
• Length: 370 Pages
• Weight: 1.09 lbs.
• Dimensions: 0.8" x 6.0" x 9.0"