The Ultimate AI Guide for Linux Engineers: A practical guide to harnessing AI, LLMs, and Automation in Linux environments

Author:   Ezequiel Lanza ,  Eduardo Spotti
Publisher:   Packt Publishing Limited
ISBN:  

9781806664238


Pages:   330
Publication Date:   29 May 2026
Format:   Paperback
Availability:   In Print   Availability explained
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The Ultimate AI Guide for Linux Engineers: A practical guide to harnessing AI, LLMs, and Automation in Linux environments


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Author:   Ezequiel Lanza ,  Eduardo Spotti
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781806664238


ISBN 10:   1806664232
Pages:   330
Publication Date:   29 May 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Ezequiel Lanza is an Open Source AI Evangelist with a Master's degree in Data Science and over 15 years of development experience. A passionate advocate for artificial intelligence and machine learning, he has presented at more than 30 conferences (Kubecon/NeurIPS/AAAI/AIdev/ODSC/All Things Open, among others), workshops, and webinars, sharing expertise through videos, tutorials, and hands-on guides. He has collaborated with major companies, including AWS, Google, and IBM, helping organizations design and implement AI solutions. He is deeply involved in developing practical AI tutorials, use cases, and adoption strategies for developers and organizations, and contributes to LF AI & Data as a Chair and Board Member, advancing open-source AI initiatives and fostering collaboration across the community. Eduardo Spotti is an experienced cloud-native and Kubernetes specialist who has delivered multiple public presentations at KubeCon, Kubernetes Community Days, AWS Community Days, AWS User Groups, and GitTogether events. His speaking topics include Kubernetes, cloud-native development, cybersecurity, FinOps, and Generative AI for modernization across telecom, finance, and SaaS industries. He is the author of the Kubernetes Adoption Maturity Model, a framework designed to evaluate and measure the adoption of Kubernetes best practices as a foundational platform for building scalable products. Eduardo has worked on highly complex, large-scale architectures across major organizations in Latin America, including Globant, Mercado Libre, Telecom, and Amazon Web Services.

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