AI Product Development: Integrating Machine Learning, Data Engineering, and Scalable Infrastructure to Deliver Intelligent Software Solutions (Unabridged‪)‬

Artificial intelligence is no longer a futuristic concept—it’s a powerful force shaping how modern software is designed, built, and delivered. AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale.

This book bridges the gap between machine learning theory and practical product delivery, offering a step-by-step blueprint for integrating AI into every stage of product development. From defining use cases and building data pipelines to training models, deploying infrastructure, and ensuring scalability, you'll gain the tools and insights needed to create AI-powered solutions that deliver measurable value.

Inside, you'll learn how to:

Identify high-impact AI use cases aligned with business goals
Build robust data pipelines and manage data lifecycle for machine learning
Apply MLOps practices for reliable, repeatable, and automated model deployment
Architect scalable infrastructure using cloud-native and hybrid solutions
Design user-centered, explainable, and ethical AI experiences
Collaborate across teams—engineering, design, product, and data science—for seamless delivery


Featuring real-world case studies, implementation tips, and expert insights, AI Product Development equips you to navigate the complex landscape of AI technologies and bring intelligent, scalable software products to life.