Udemy

Automate Network Vulnerability Scanning with Python and Nmap

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  • 262 Students
  • Updated 1/2026
4.8
(12 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 21 Minute(s)
Language
English
Taught by
Mihai Cătălin Teodosiu
Rating
4.8
(12 Ratings)

Course Overview

Automate Network Vulnerability Scanning with Python and Nmap

Learn Python from scratch! Build an end-to-end network vulnerability scanning application with Python, Pandas, and Nmap.

  • Audience: Network Engineers

  • Level: Beginner to Advanced

  • Last update: January 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 network vulnerability scanning project, built using the following tools and technologies:

  • Python

  • Pandas

  • Nmap

  • VS Code

  • Jupyter

  • Ubuntu

  • Kali Linux

  • VirtualBox

  • Arista EOS


During this course, you'll build a network vulnerability scanner that is able to scan the devices on the local network, detect all the open ports, learn what services can be exploited, brute-force some of these services, provide a short summary report, and generate a visual representation of the vulnerable hosts.

  • 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 vulnerability scanning lab that you can actually use in the real world for:

  • Becoming a better Network Engineer who's also security-focused

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

  • Detecting vulnerable hosts and services on your local network


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 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 updates are included

  • Full instructor support for all course-related questions

  • A 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 12,800 reviews, 4.5/5 average rating.


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

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

Course Content

  • 5 section(s)
  • 67 lecture(s)
  • Section 1 Section 1: Setting Up The Basics
  • Section 2 Section 2: Learning Python From Scratch
  • Section 3 Section 3: Basic-to-Intermediate Pandas
  • Section 4 Section 4: Building a Network Vulnerability Map
  • Section 5 Section 5: Wrapping Things Up

What You’ll Learn

  • You are going to learn Python from scratch, in an organized, easy-to-understand, hands-on fashion., You are going to learn to read, write and manipulate dataframes and files using the Pandas library., You will learn how to scan network devices and services using Nmap and the Nmap Scripting Engine (NSE)., You are going to learn how to automate vulnerability scans and create a report & visual network map., You are going to build, test and download a Network Vulnerability detection application with Python., You are going to build a project end-to-end, from scratch, and showcase it to recruiters and companies.


Reviews

  • S
    Saar Yachin
    5.0

    I love this course and the project-based, hands-on approach. The instructor is engaging, and the project is very interesting and presents a realistic lab, which is just fun to build and work with. Tte fundamental intros (Python & Pandas) are concise and useful. Note - Although the instructor uses VirtualBox, the lab translates well to other virtualization environments (works great on Proxmox using Ubuntu Jammy LXCs).

  • T
    Trader FDAX
    5.0

    Very interesting course, so far. Looking forward to finish it and practice everything the instructor teaches. Highly recommended!

  • G
    Glenn Lindsey
    4.5

    Excellent match for my needs. Just one hiccup at the beginning trying to load Jupyter notebook from Kali Linux. Remedied pretty quickly, however. NMAP module going well.

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