John Capobianco

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 Python Key Features 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 Book 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 learn 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 Who 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.

Unlock the power of automated network testing with the Cisco pyATS framework. Written by industry experts John Capobianco and Dan Wade, Cisco pyATS—Network Test and Automation Solution is a comprehensive guide to the Cisco pyATS framework, a Python-based environment for network testing, device configuration, parsing, APIs, and parallel programming. Capobianco and Wade offer in-depth insights into the extensive capabilities of pyATS and the pyATS library (Genie). You'll learn how to leverage pyATS for network testing, including software version testing, interface testing, neighbor testing, and reachability testing. You'll discover how to generate intent-based configurations, create mock devices, and integrate pyATS into larger workflows using CI/CD pipelines and artificial intelligence. You'll explore the pyATS Blitz feature, which introduces a low-code no-code approach to network testing by allowing you to configure devices and write test cases using YAML, much like Ansible. And you'll learn how to reset devices during or after testing with the pyATS Clean feature, build a pyATS image from scratch for containerized application deployment, and much more. Whether you're a network professional, software developer, or preparing for the Cisco DevNet Expert Lab exam, this book is a must-have resource. Understand the foundations of NetDevOps and the modern network engineer's toolkit Install, upgrade, and work with the pyATS framework and libraryDefine test cases, control the flow of test execution, and review test results with built-in reporting featuresGenerate automated network documentation with Jinja2 templates and Genie Conf objectsApply CI/CD practices in network automation with GitLab, Ansible, and pyATSLeverage artificial intelligence in pyATS for enhanced network automation