Enhancing Network Automation with Generative AI from Pluralsight

Generative AI has many new capabilities, but few engineers have integrated those features into existing network automation solutions. This course will teach you how to do exactly that using a realistic use-case.

This course cuts through today's hype surrounding generative AI by tying the output from the large language models (LLMs) into a complex network automation workflow. In this course, Enhancing Network Automation with Generative AI, you’ll learn to make intelligent requests of your generative AI model, then receive precise and accurate answers. First, you'll discover how to ask generative AI to convert network device configurations across vendors. Next, you’ll explore the power of post-AI/pre-deployment validation by combining off-line tools like pytest and batfish to catch obvious mistakes made by generative AI before deployment. Finally, you'll learn how to programmatically deploy network topologies and subsequently test them using an innovative combination of Python, GNS3, scrapli, textFSM, and asyncio. When you’re finished with this course, you’ll have the skills and knowledge of automation-oriented generative AI needed to solve specific business problems relating to network configuration, troubleshooting, deployment, and validation.

What's inside

Syllabus

Course Overview

Using GPT to Convert Network Configurations

Optimizing AI with Fine-tuning and Embeddings

Reviewing Network Configurations with Batfish and Pytest

Building On-demand Test Topologies with GNS3

Parsing Structured Data from CLI Outputs with TextFSM

Validating Test Topologies with Scrapli and Asyncio

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Deepens understanding of network configuration and automation using generative AI

Explores specific business problems and their solutions in the realm of network configuration, troubleshooting, deployment, and validation

Introduces the use of machine learning models to optimize network automation

Emphasizes hands-on practice through the inclusion of innovative combinations of Python libraries and tools for network automation

Implements realistic use-cases to demonstrate the applications of generative AI in network automation

Taught by Nick Russo, an experienced instructor in the field of network automation and generative AI

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Enhancing Network Automation with Generative AI with these activities:

Guided tutorial one

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This tutorial will provide clear assistance with the fundamentals of generative AI and network automation, ensuring a comprehensive foundational understanding for the course.

Browse courses on Generative AI

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Access and follow the provided tutorial
Review the learning materials
Complete the practice exercises

Review coding concepts in python

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Generative AI is implemented in Python, refreshing your coding concepts in Python will help you better understand the concepts of generative AI

Browse courses on Python

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Review variables and data types
Practice writing control structures (e.g., if/else, loops)
Review object-oriented programming concepts (e.g., classes, inheritance)

Network Configuration Conversion Practice

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Engaging in these drills will enhance your proficiency in using generative AI to convert network configurations across vendors, strengthening your practical skills.

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Gather a set of sample network configurations
Utilize the generative AI model to convert the configurations
Compare the converted configurations to the original ones

Three other activities

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Follow a tutorial on how to use Batfish and Pytest to validate network configurations

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Batfish and Pytest are useful tools for validating network configurations, following a tutorial will give you hands-on experience and help you learn to use them

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Find a tutorial on a preferred platform (e.g., Pluralsight, YouTube)
Follow the tutorial steps to install and configure Batfish and Pytest
Write test cases to validate network configurations

Practice using GNS3, Scrapli, TextFSM, and Asyncio to deploy and test network topologies

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Practice using tools to deploy and test network topologies to enhance your learning of the course

Browse courses on GNS3

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Follow a tutorial on how to setup GNS3
Follow documentation on Scrapli, TextFSM, and Asyncio for implementing them
Combine the tools to deploy and test a small network topology

Network Automation Workflow with Generative AI

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Developing this workflow will solidify your understanding of integrating generative AI into network automation workflows, enabling you to apply these skills in real-world scenarios.

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Design a network automation workflow
Incorporate the generative AI model into the workflow
Implement and test the workflow
Document the workflow

Career center

Learners who complete Enhancing Network Automation with Generative AI will develop knowledge and skills that may be useful to these careers:

Automation Architect

An Automation Architect specializes in the design and maintenance of automated systems for network infrastructure. This course will augment your skills in network automation by bolstering your knowledge of Generative AI, a revolutionary technique for automating software tasks including network configuration, troubleshooting, deployment, and validation. The material covered will help you accelerate projects and minimize errors, solidifying your expertise in optimizing automation for the modern network.

See salaries and explore the career path for Automation Architect

Network Architect

A Network Architect designs, builds, and maintains network infrastructure for various organizations. This course on Enhancing Network Automation with Generative AI will provide you with the skills to automate network tasks, freeing up your time to focus on higher-level architectural concerns. You'll learn how to convert network configurations across vendors, optimize AI with fine-tuning and embeddings, and validate test topologies with Scrapli and Asyncio.

See salaries and explore the career path for Network Architect

Network Engineer

Network Engineers install, configure, and maintain computer networks for businesses and organizations. This course on Enhancing Network Automation with Generative AI will introduce you to cutting-edge techniques for automating network tasks, a skill that is increasingly in demand as companies move to more complex and dynamic network environments. You'll gain hands-on experience with tools and techniques for automating network configuration, troubleshooting, deployment, and validation.

See salaries and explore the career path for Network Engineer

Software Engineer

Software Engineers design, develop, and maintain software systems. This course on Enhancing Network Automation with Generative AI will provide you with the skills and knowledge to build intelligent network automation solutions using Generative AI. You'll learn how to use large language models (LLMs) to make intelligent requests and receive precise and accurate answers. This hands-on training will help you develop in-demand skills that can accelerate your career as a Software Engineer.

See salaries and explore the career path for Software Engineer

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. This course on Enhancing Network Automation with Generative AI will provide you with the skills and knowledge to automate network tasks, a critical aspect of DevOps. You'll learn how to use Generative AI to convert network configurations across vendors, optimize AI with fine-tuning and embeddings, and validate test topologies with Scrapli and Asyncio. This training will help you become a more effective DevOps Engineer and contribute to the success of your organization's software development lifecycle.

See salaries and explore the career path for DevOps Engineer

Network Administrator

Network Administrators manage and maintain computer networks for businesses and organizations. This course on Enhancing Network Automation with Generative AI will provide you with the skills and knowledge to automate network tasks, a critical aspect of network administration. You'll learn how to use Generative AI to convert network configurations across vendors, optimize AI with fine-tuning and embeddings, and validate test topologies with Scrapli and Asyncio. This training will help you become a more efficient and effective Network Administrator.

See salaries and explore the career path for Network Administrator

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to network automation tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and maintain machine learning models. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to network automation tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Machine Learning Engineer

Cloud Engineer

Cloud Engineers design, build, and maintain cloud computing systems. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to cloud networking tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Cloud Engineer

Network Security Engineer

Network Security Engineers design, implement, and maintain security measures for computer networks. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to network security tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Network Security Engineer

Systems Administrator

Systems Administrators manage and maintain computer systems, including servers, desktops, and networks. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to systems administration tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Systems Administrator

IT Manager

IT Managers plan, direct, and coordinate the activities of an organization's IT department. This course on Enhancing Network Automation with Generative AI may be useful for those interested in gaining a better understanding of how Generative AI can be used to improve network automation. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for IT Manager

Software Developer

Software Developers design, develop, and maintain software applications. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to software development tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Software Developer

Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to data engineering tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators manage and maintain databases. This course on Enhancing Network Automation with Generative AI may be useful for those interested in applying Generative AI techniques to database administration tasks. The course covers topics such as using GPT to convert network configurations, optimizing AI with fine-tuning and embeddings, and reviewing network configurations with Batfish and Pytest.

See salaries and explore the career path for Database Administrator

Enhancing Network Automation with Generative AI

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