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Automate Network Tasks with Claude and MCP
Bestseller
Highest Rated
Rating: 4.9 out of 5(38 ratings)
349 students

Automate Network Tasks with Claude and MCP

Take your first step into AI-based Network Automation using Claude Code, MCP Server, Python, Scrapli, and ContainerLab.
Last updated 3/2026
English

What you'll learn

  • Build a complete, 100% hands-on project to showcase to recruiters and managers.
  • Build the full automation project from the ground up alongside me until completion.
  • Learn how to use Claude Code, MCP, and Python to automate network device tasks.
  • Automate troubleshooting, reading, and writing configuration with AI and MCP.
  • Build a network topology from scratch using just Containerlab and YAML syntax.
  • Implement extra features for your MCP server: security, performance, and state.
  • Get an extra network topology for CCNP-level tasks, and a detailed lab manual.
  • Tech stack: Claude Code, MCP Server, Containerlab, Python, Scrapli, Ubuntu VM.

Course content

5 sections51 lectures4h 57m total length
  • 1.1. High-Level Overview of This Project4:31

    A big-picture walkthrough of how Claude AI, a Python-based MCP Server, and a real network lab work together end-to-end.

  • 1.2. What is MCP? Why Does It Matter?4:49

    Brief overview of the role, archtecture, and limitations of MCP.

  • 1.3. Best Practices and Course Resources1:25

    Key best practices, learning tips, and resources to help you make the most out of this course.

  • 1.4. Join the Private Discord Community0:13

    Never miss a course update due to a lost email. Engage with other engineers enrolled in the course.

  • 1.5. Virtualization and the Ubuntu Linux VM5:20

    Setting up the Ubuntu VM that will host Docker, Containerlab, the MCP Server, and Claude Code.

  • 1.6. Setting Up the Project Directory Structure3:24

    Creating a clean, professional project structure for Python, the MCP Server, and network inventory files.

  • 1.7. Installing and Running the Docker Engine2:55

    Installing Docker Engine to provide the foundation for Containerlab-based network simulations.

  • 1.8. Notebook: Full List of Installation Commands0:35

    A consolidated reference notebook with all installation commands used so far.

  • 1.9. Course FAQ1:29

Requirements

  • You should have a basic understanding of networking: CLI, SSH, IP, Routing, OSPF, etc.
  • You should have a basic understanding of Python: syntax, data types, functions, libraries.
  • However, I have included a Python playlist and two PDFs to get you started from scratch.
  • Most tools used in the course are free, but you'll need a Claude API key with minimal credits.
  • You need a decent PC to be able to assign at least 8GB RAM to the Ubuntu virtual machine.

Description

  • Audience: Network Engineers

  • Level: Beginner to Intermediate

  • Last update: March 2026


What's this course all about?

Recruiters want results. Managers, too. They value builders and doers - not just theoreticians.

Show them your own hands-on, AI-based network automation project, built using the following tools and technologies:

  • Claude AI (Claude Code)

  • MCP Server (FastMCP)

  • ContainerLab

  • Python

  • Scrapli

  • VS Code

  • Ubuntu

  • VirtualBox


During this course, you'll build a network automation pipeline that is able to read, write, and troubleshoot network device configurations easily with the help of cutting-edge technologies such as Claude Code and MCP.

  • We're going to build the project together from the ground up, step-by-step

  • You will install, execute, code, and also troubleshoot everything alongside me


By the end, you’ll have a network automation lab that you can actually use in the real world for:

  • Becoming a better, more skilled Network Automation Engineer

  • Showcasing a strong project to companies, recruiters, and peers

  • Automating router configuration reading, parsing, and writing

  • Implementing automated troubleshooting of network services


This project is a perfect fit if you're looking to showcase your skills as a:

  • Network Engineer, Network Admin, Network Analyst

  • Network Automation Engineer or QA Engineer

  • CCNA or CCNP-certified network professional


Important information before you enroll:

  • 30-day money-back guarantee - no questions asked

  • Unlimited, lifetime access to the course from any device

  • All the future course and code upgrades are included

  • I'm adding new content to the course on a regular basis

  • Full instructor support for all course-related questions

  • Access to a private Discord community is also included

  • Access to two GitHub repositories - for CCNA and CCNP

  • You will need to get a Claude API key with minimal credits

  • On the other hand, having a paid Claud plan should work too

  • You'll get Certificate of Completion upon finishing the course


What others have to say about my courses?

  • "What an incredible value and learning experience!" by Sean A.

  • "The instructor is an excellent professional, skillful and engaging." by Georgios T.

  • "Excellent material. Kudos to a great instructor with a vast level of creativity." by Anthony W.

  • "I can say this man is going on smoothly and perfectly, explaining in the most empirical way." by Kolapo A.

  • "Very thorough course. Includes plenty of details and examples without being boring. Explanations are given at a very practical level." by Gary S.

  • "As a Python beginner, I find this course is concise, easy to understand  and structured. Also, Mihai responses to my question during the course  promptly. I highly recommend this training course." by Johnny W.

  • "The instructor seems to touch all the basis in a logical and methodical way while providing examples and explanations. I can only conclude the instructor is a professional educator who spent considerable time structuring and organizing the course." by Larry L.

  • "I've tried learning from the books & multiple videos - most were too basic to make a practical app. Some books were too thick and made me sleep. But still none of the materials had the perfect balance like this course where all the basics were covered, instructions were concise, and Mihai walks you step by step." by Joon P.

  • "Usually I'm not doing courses review but this time I will make an exception. During time I took a lot of trainings but very few provided by Udemy proved as having the right approach in teaching the audience. I will mark this one as being one of my personal top three best trainings as content's quality, technical explanations, and additional learning materials perspective." by Johnny S.

  • "This is a great course for network engineers who would like to start automating their tasks. Geared towards beginners, this course teaches the fundamentals and applying those concepts to networking. There is a lot of fluff on the internet, however the instructor managed to put together the necessary information to start automating the network." by Costin N.

  • "I've seen the blueprint and some demo videos and I was convinced right away. Without a doubt, it's one of the best trainings a network engineer can have. It gives you actual valuable and marketable skills that you can use in your daily job. Mihai explains the topics really well, with practical examples making it a fun way to learn. Highly recommended." by Vlad V.


Some of my instructor stats on Udemy:

  • Teaching automation here since May 2015.

  • Over 110,000 students from 185 countries.

  • Over 13,000 reviews, 4.6/5 average rating.


Time is ticking - don’t waste it! Start building.

Enroll now, and I'll see you in the first lecture.

Who this course is for:

  • Network Administrators, Network Engineers, Network Analysts, Systems Engineers.
  • Network QA Engineers, Network Automation Engineers, Python Enthusiasts.
  • Any other kind of IT, security, or networking geeks are welcome, as well.