Practical AI for Platform and Cloud Engineers: Real-World Guide for Building, Deploying and Operating AI-Powered Platforms at Scale

Artificial Intelligence is no longer a future technology.It's already changing how applications are built, how platforms are operated, and how engineering teams solve problems. Yet most AI resources are written for data scientists, machine learning researchers or AI specialists. What about the engineers responsible for building, deploying, securing, monitoring, and operating modern systems?This book was written for them.Practical AI for Platform and Cloud Engineers takes a practical, engineering-first approach to understanding AI in modern cloud environments. Instead of focusing on complex mathematics, academic theory or research papers, it explains how AI systems fit into the cloud-native platforms that engineers already use every day.Through the journey of Dev-a platform engineer navigating the rapidly evolving world of AI-you'll learn how modern AI systems are designed, deployed, secured, and operated in production environments. Inside this book, you'll explore:Large Language Models (LLMs) without the jargonRetrieval-Augmented Generation (RAG)AI Agents and Agentic WorkflowsAI architecture patternsKubernetes for AI workloadsPlatform Engineering for AI systemsSecurity, governance, and responsible AIObservability, reliability and LLMOpsReal-world lessons, mistakes and practical insights.Whether you're a Cloud Engineer, Platform Engineer, DevOps practitioner, Site Reliability Engineer, Architect or technology leader, this book will help you understand how AI fits into the systems you already build and operate. By the end of this journey, you'll have a practical understanding of how to design, deploy, secure, monitor and operate AI-powered cloud platforms with confidence. Because AI isn't replacing engineering. It's becoming another discipline that great engineers learn to master. Read more