Key Features
- Apply AI to Linux, from core concepts to production-ready deployments at scale
- Build intelligent automation using LLMs, RAG, and AI agents for monitoring, troubleshooting, and system administration
- Deploy secure, scalable AI workloads with Docker, Kubernetes, and cloud-native best practices
Who this book is for
This book is for Linux engineers, system administrators, DevOps professionals, SREs, and platform engineers who want to integrate AI into real-world infrastructure and operations. Prior hands-on experience with Linux, the command line, and basic system administration is expected. Some familiarity with containers (Docker), Kubernetes, and scripting (Bash or Python) would be helpful. Prior AI or machine learning knowledge is beneficial but not required, as core concepts are explained in practical Linux terms.