Transform your network operations with AI-powered automation and learn code generations, prompt engineering, and practical recipes for custom network tools using AI assistants and Python
Key Features
- Leverage AI assistants like OpenAI and Claud 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 with multi-vendor APIs
Book Description
Transform your approach to network automation with the power of AI LLM assistants. This cookbook gives you practical, hands-on recipes for rapidly and efficiently building custom automation solutions with AI. You'll discover how to apply tools such as Vibe coding for conversational development, OpenAI API scripts, prompt engineering for better outputs, fine-tuning local LLMs, combining models with LangChain, and creating rapid frontends with Streamlit. Across all the chapters, you'll progress from simple Python scripts to advanced AI-assisted automation techniques, including multi-vendor API integration. Along the way, you'll learn how to harness AI for network configuration, monitoring, security, and troubleshooting. Each recipe includes realistic mock data, complete code examples, and step-by-step guidance designed for safe experimentation and future production use. Whether you want to automate routine configuration, implement AI-driven troubleshooting, or build compliance monitoring systems, this cookbook helps you bridge the gap between your networking expertise and modern AI capabilities.
What you will learn
- Understand 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 LLM using Ollama for network applications
- Chain language models with LangChain for complex network solutions
- Develop AI application frontends using Streamlit framework
- Design robust backends for network AI applications
- Build end-to-end network copilot with all learned techniques
Who this book is for
AI for Networking Cookbook is for experienced network engineers, network architects, and DevOps professionals who want to leverage AI and LLM technologies to enhance their network automation capabilities. 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 will find this book invaluable. Basic familiarity with networking concepts, configurations, Python would be helpful. No prior AI or advanced programming experience is required.
