Automate Network Tasks with Claude and MCP — 92% Off Coupon

Build, test, and showcase a Network Automation project using: Claude Code, MCP Server, Python, Scrapli, & ContainerLab.

5.0 150 students enrolledCreated by Mihai Cătălin TeodosiuLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: Automate Network Tasks with Claude and MCP
Provider: Udemy (listed via CourseSpeak)
Instructor: Mihai Cătălin Teodosiu
Coupon Verified On: February 18, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: Model Context Protocol (MCP)
Duration: 4h 30m of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: 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 AI and the MCP Server to automate network device tasks.
Prerequisites: 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.
Coupon: Click REDEEM COUPON below to apply discount

What You'll Learn

Skills and competencies you'll gain from this Udemy course:

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 AI and the MCP Server to automate network device tasks. .
Automate reading, writing, and troubleshooting device configuration with AI & 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, REST, eAPI.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Mihai Cătălin Teodosiu. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Mihai Cătălin Teodosiu
Field: Development
Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Automate Network Tasks with Claude and MCP Coupon Worth It?

Automate Network Tasks with Claude and MCP is a development course offered on Udemy by instructor Mihai Cătălin Teodosiu, spanning 4h 30m of on-demand content. It holds a 5.0/5 rating from over 150 enrolled students.

Through CourseSpeak, you can access this course with a 92% discount coupon. The coupon was last verified on February 18, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

✓ Our Take: Based on the rating (5.0/5) and enrollment numbers (150 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

5.0
150 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

Frequently Asked Questions

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