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

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 PythonKey FeaturesLeverage AI assistants like OpenAI and Claude to build network automation solutionsUse prompt engineering and AI tools to automate network setup, monitoring, and threat detectionBuild AI-assisted network configuration, monitoring, and management workflows with multi-vendor APIsPurchase of the print or Kindle book includes a free PDF eBookBook 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 learnUnderstand the AI LLM landscape and key parameters for networking tasksCreate OpenAI-enabled scripts for daily network engineering workflowsMaster prompt engineering techniques for improved AI outputsBuild local LLMs using Ollama for network applicationsChain language models with LangChain for complex network solutionsDevelop AI application frontends using the Streamlit frameworkDesign robust backends for network AI applicationsBuild an end-to-end network copilot by integrating all the techniques you've learnedWho 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.Table of ContentsThe AI LLM Landscape and Key ParametersOpenAI Recipes for Network EngineersPrompt Engineering for Reliable OutputsLocal AI LLM Playground in Network EngineeringLangChain for Networking TasksBuilding an AI LLM Network Application Frontend with StreamlitBuilding AI LLM Application BackendsBuilding a Network Co-PilotNetwork Monitoring and Performance Use Cases with MCPNetwork Security through Vibe Coding Read more