The Ultimate AI Guide for Linux Engineers
A Hands-On Guide to Agentic AI, LLMs, and Cloud-Native Automation for Linux Infrastructure Teams
Created by Ezequiel Lanza, Eduardo Spotti
Explore how artificial intelligence can streamline and enhance Linux infrastructure. You will learn to automate operations, integrate large language models, and deploy intelligent systems using modern cloud-native tools. Gain practical skills to make Linux environments smarter and more efficient.
Packt | May 2026 | 330 min
What You Will Learn
You will start by setting up AI-ready Linux environments, then move on to building and integrating AI agents and LLMs for real operational tasks. Through hands-on examples, you will automate monitoring, troubleshooting, and system administration, and deploy scalable AI solutions using containers and Kubernetes.
Key Features
- Automate Linux administration with AI agents and LLM-powered workflows
- Integrate Retrieval-Augmented Generation to query logs and internal knowledge
- Deploy scalable, secure AI services using Docker, Kubernetes, and cloud-native tools
Target Audience
Ideal for Linux engineers, system administrators, and DevOps professionals ready to bring AI into their daily workflows. If you have hands-on Linux experience and basic familiarity with containers and scripting, you will gain actionable skills to automate and scale infrastructure using AI, even if you are new to machine learning concepts.
