AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Eric Chou John Capobianco

AI Networking Cookbook

Name: AI Networking Cookbook
Price: 99.70 AUD
Availability: OutOfStock
ISBN: 9781805807995

Practical recipes for AI-assisted network automation and development

Eric Chou, John Capobianco

$124.95 $99.70

Paperback

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English

Packt Publishing Limited
14 January 2026

Computer networking & communications; Artificial intelligence

Transform your network operations with AI-powered automation, and learn code generation, prompt engineering, and practical recipes for building custom network tools using AI assistants and Python

Key Features

Leverage AI assistants like OpenAI and Claude to build network automation solutions Use prompt engineering and AI tools to automate network setup, monitoring, and threat detection Build AI-assisted network configuration, monitoring, and management workflows with multi-vendor APIs Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionTransform your approach to network automation with the power of AI LLM assistants guided by hands-on recipes for building custom automation solutions quickly using artificial intelligence. You’ll learn tools and techniques such as Vibe coding for conversational development, OpenAI API scripts, prompt engineering for better outputs, local LLM fine-tuning, combining models with LangChain, and Streamlit-based frontends development. The book progresses from simple Python scripts to advanced AI-assisted automation techniques, including multi-vendor API integration, showing you how AI can enhance network configuration, monitoring, security, and troubleshooting. Each recipe presents realistic mock data, complete code examples, and step-by-step guidance, creating a safe environment for experimentation while building a solid foundation for future production use. Whether you want to automate routine configuration, implement AI-driven troubleshooting, or build compliance monitoring systems, this cookbook helps you connect your networking expertise with the capabilities of modern AI.

What you will learn

Understand the AI LLM landscape and key parameters for networking tasks Create OpenAI-enabled scripts for daily network engineering workflows Master prompt engineering techniques for improved AI outputs Build local LLMs using Ollama for network applications Chain language models with LangChain for complex network solutions Develop AI application frontends using the Streamlit framework Design robust backends for network AI applications Build an end-to-end network copilot by integrating all the techniques you've learned

Who this book is forThe AI for Networking Cookbook is for experienced network engineers, network architects, and DevOps professionals who want to enhance their network automation capabilities using AI and LLM technologies. It is especially invaluable for networking professionals looking to integrate conversational AI development, prompt engineering, and modern AI tools like OpenAI APIs, LangChain, and local LLM models into their workflows. Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming experience is required.

By: Eric Chou
Foreword by: John Capobianco
Imprint: Packt Publishing Limited
Country of Publication: United Kingdom
Dimensions: Height: 235mm, Width: 191mm,
ISBN: 9781805807995
ISBN 10: 1805807994
Pages: 346
Publication Date: 14 January 2026
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Eric Chou is a seasoned technologist with over 20 years of experience. He has worked on some of the largest networks in the industry while working at Amazon, Microsoft, and other Fortune 500 companies. Eric is passionate about network engineering, AI, Python, and helping companies build better automation culture. Eric is the host of the popular Network Automation Nerds podcast, author of top-selling books, and a community builder. He shares his deep interest in technology through his books, online classes, speaking engagements, and contributions to the open source community.