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

• 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

• 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

The 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.