By Eric Chou | Published by Packt | 346 pages
AI Networking Cookbook
Practical recipes for AI-assisted network automation and development
By Eric Chou | Published by Packt | 346 pages
From simple Python scripts to advanced AI-assisted automation — step by step, recipe by recipe
Understand the AI LLM landscape and the key parameters that matter for networking tasks, including how to evaluate and select models.
Write OpenAI-enabled scripts for everyday network engineering workflows, from configuration generation to troubleshooting assistance.
Master prompt engineering techniques to get more reliable, consistent outputs from AI models in a networking context.
Run local language models using Ollama for private, offline network automation without sending data to external APIs.
Chain language models with LangChain and build robust backends to create more capable network automation applications.
Put it all together and build an end-to-end AI-powered network copilot covering monitoring, security, and multi-vendor management.
Eric Chou is a network engineer and technologist with over 20 years of experience, having worked on large-scale networks at Amazon, Azure, and other major companies. He is the author of Mastering Python Networking (Packt) and holds three U.S. patents in IP telephony and networking.
Eric is the host of the Network Automation Nerds podcast and is passionate about helping network engineers adopt practical automation and AI techniques in their day-to-day work.
Available in paperback, Kindle, and eBook formats. Purchase of print or Kindle includes a free PDF eBook.