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AI for Network Engineers
A Practical Playbook for Automation, Troubleshooting, and Smarter Operations
This book is 100% completeLast updated on 2026-06-18
Practical, safe AI for people who actually run networks.
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About
About the Book
AI is already changing network operations — this book shows you how to use it without breaking your network.
Most "AI for engineers" material is either hype or toy examples.
AI for Network Engineers is different: it's a practical, code‑first playbook written for people who actually run networks.
Every concept is tied to something you can run, and the whole book builds on three disciplines that keep AI safe and useful in production — ground the model in real data, let it propose while a deterministic check disposes, and never mistake a confident tone for correctness.
You'll start by making your first AI call against a real log line and finish by deploying three complete tools: a syslog triage bot, a fleet‑wide config compliance checker, and an interactive troubleshooting assistant. Along the way you'll learn how to generate and validate configuration, turn thousands of log lines into a ranked summary, build a private "ask your network" assistant with RAG, and create bounded, read‑only agents you can actually trust near production.
Examples mix Cisco IOS/NX‑OS and Juniper Junos, because real networks are multi‑vendor — and every tool is written so you can point it at a cloud API or a local model by changing a single line, keeping sensitive configs inside your perimeter.
What you'll learn:
Run AI from Python against real device data — cloud or local — with one reusable client
Summarize, triage, and root‑cause logs; generate and audit configs against your own standard
Get reliable structured (JSON) output, count tokens and control cost, and harden API calls for production
Build RAG over your own configs and docs, and design safe, allow‑listed agents
Choose and self‑host local models, and put proper security, privacy, and governance in place
Ship three real, deployable projects end to end
Who it's for: working network engineers, NetDevOps practitioners, and NOC teams who are comfortable at the CLI and can read Python, but aren't AI specialists.
Inside: 19 chapters across 5 parts, ~165 pages, runnable Python throughout, and a prompt cookbook you'll keep coming back to.
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About the Author
Jozef Baros
Jozef Baros is a Senior Network Architect, Teamleader, cybersecurity and technology automation specialist with over a decade of hands-on experience designing, securing, building, and operating large-scale enterprise networks for one of Europe's leading telecommunications providers. Working daily with Cisco and AI infrastructure across global enterprise environments, Jozef brings a rare combination of deep technical expertise and a practical, results-driven approach to complex technology challenges. His professional work spans network architecture, infrastructure automation, cybersecurity and cross-functional project management — giving him a uniquely grounded perspective on how technology actually performs under real-world conditions, not just in theory.
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