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.

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Spis treści

AI Networking Cookbook. Practical Recipes for AI-Assisted Network Automation and Development eBook -- spis treści

• 1. The AI LLM Landscape and Key Parameters
• 2. OpenAI API Recipes for Network Engineers
• 3. Prompt Engineering for Reliable Outputs
• 4. Local LLM Model Playgrounds in Network Engineering
• 5. Chaining Language Models for Network Tasks
• 6. Building AI LLM Network Application Frontend with Streamlit
• 7. Building AI LLM Application Backends for Network Applications
• 8. Building Network Co-Pilot
• 9. Network Monitoring and Performance Use Cases
• 10. Network Security Use Cases