AI Networking Cookbook: AI-Assisted Network Automation
AI-Assisted: AI Networking Cookbook is a practical recipe book for network engineers who want to apply AI assistants and Python to network automation. Its listed topics range from prompt engineering and OpenAI API scripts to local LLMs, LangChain, Streamlit applications, monitoring, security, and troubleshooting. Familiarity with networking, configurations, and Python is helpful, while prior AI or advanced programming experience is not required according to the listing.
At a glance
- Recipes cover AI-assisted network configuration, monitoring, security, and troubleshooting workflows.
- Topics include prompt engineering, OpenAI-enabled Python scripts, local LLMs with Ollama, LangChain, and Streamlit.
- The listing says recipes include mock data, code examples, and step-by-step guidance.
- Print or Kindle purchase is stated to include a free PDF eBook.
Reference price: $54.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- Connects familiar network-engineering tasks with practical examples using Python and several AI development tools.
- The progression from basic scripts toward multi-vendor API integration and an end-to-end network copilot gives readers a path across multiple project types.
- Mock data is presented as a way to experiment without relying on live network data.
Cons
- Readers looking for a reference focused only on traditional network configuration may find the AI application and LLM material outside their needs.
Technical specifications
8 specifications| Publisher | Packt Publishing |
|---|---|
| Publication date | January 14, 2026 |
| Language | English |
| Print length | 346 pages |
| ISBN-10 | 1805807994 |
| ISBN-13 | 978-1805807995 |
| Weight listed | 1.31 pounds |
|---|---|
| Dimensions | 7.5 x 0.78 x 9.25 inches |
What to know before buying
- The free PDF is claimed for purchases of either the print or Kindle book. Confirm the delivery method and access details for the selected format.
Who is it for?
A good fit for
- Experienced network engineers and network architects exploring AI-assisted automation.
- DevOps professionals working with network workflows who have basic networking and Python familiarity.
- Readers interested in examples involving OpenAI APIs, local LLMs, LangChain, Streamlit, and multi-vendor APIs.
Less suited to
- Readers seeking a purely traditional networking manual without AI or LLM development topics.
- Readers who need a book that assumes no familiarity with networking concepts, configurations, or Python.
Customer reviews on Amazon
- 5 stars
93% 93% - 4 stars
0% 0% - 3 stars
3% 3% - 2 stars
0% 0% - 1 star
4% 4%
The supplied evidence includes aggregate ratings but no written customer feedback. The rating distribution is mostly five-star, with a small number of lower-star ratings, so it offers a generally positive but limited signal rather than details about the accuracy, clarity, or usefulness of the book's AI and networking recipes.
Frequently asked questions
What does the book cover?
The listing describes recipes for AI-assisted network automation, including Python and OpenAI API scripts, prompt engineering, local LLMs, LangChain, Streamlit, multi-vendor APIs, and network monitoring and security use cases.
Who is this book aimed at?
It is presented for experienced network engineers, network architects, and DevOps professionals. Basic networking, configuration, and Python familiarity is helpful, while previous AI or advanced programming experience is not required.
Does the listing promise a PDF eBook?
Yes. It says purchasing the print or Kindle book includes a free PDF eBook. Check the selected format's listing for how the PDF is provided.
Does the book use practical examples?
The listing says each recipe includes realistic mock data, complete code examples, and step-by-step guidance.
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