EVE-NG Training Course to Build Virtual Labs

Learn EVE-NG & Network Attacks with Step by Step Lab Workbook
4.67 (403 reviews)
Udemy
platform
English
language
Network & Security
category
instructor
EVE-NG Training Course to Build Virtual Labs
4 843
students
11 hours
content
Apr 2025
last update
$29.99
regular price

Why take this course?

🌟 Course Title: EVE-NG Training Course to Build Virtual Labs

Course Headline: Unlock the Full Potential of Your Networking Skills with EVE-NG!

🚀 What is EVE-NG? EVE-NG is an indispensable tool for network, security, and DevOps professionals. It's a clientless multivendor network emulation software that provides a vast playground for networking enthusiasts. With EVE-NG, you can simulate complex network environments, deploy virtual labs, and experiment with various vendor solutions—all within your computer!

🔍 Why Choose EVE-NG? In today's fast-paced IT world, EVE-NG stands out for its ability to meet diverse training needs. Whether you're an individual looking to self-learn, a professional aiming to validate networking concepts and designs, or an enterprise in need of creating virtual proof of concepts, EVE-NG is the ideal platform. It allows you to build, test, and validate network solutions without the constraints of physical equipment.

👩‍💻 Course Description: This comprehensive EVE-NG Training Course is designed to guide you through every step of building your own virtual labs using EVE-NG. You'll learn the ins and outs of downloading the necessary EVE-NG Image, installing it, and setting up your environment with the required vendor images (Cisco, Checkpoint, Palo Alto, Fortinet, F5, etc.). We'll walk you through:

  • Getting Started with EVE-NG: Learn how to download the required EVE-NG Image and install it on your machine.
  • Adding Vendor Images: Discover how to add Cisco Dynamips images, IOU/IOL images, and qcow2 images to your EVE-NG setup.
  • Creating Labs: Step-by-step instructions on creating and setting up your first EVE-NG lab.
  • EVE-NG Images Collection: Gain access to a diverse collection of EVE-NG images, including Cisco Switch images and Cisco qcow2 images.
  • Practice with CCNA & CCNP Exams: Enhance your learning experience by practicing for CCNA and CCNP exams within your virtual lab environment.

Key Takeaways:

  • Master the installation and configuration of EVE-NG.
  • Learn to add and manage various images, including Cisco Dynamips, IOU/IOL, and qcow2.
  • Set up a range of different EVE-NG labs for hands-on experience with network attacks, protocols, and solutions.
  • Benefit from a comprehensive collection of EVE-NG images for all your virtual lab needs.

Course Highlights:

  • 🎓 Step-by-Step Lab Workbook: A detailed guide to follow along each step of the way.
  • 🖥️ Flexible Learning Platform: Learn at your own pace, anytime, and anywhere on your computer.
  • 🛠️ Practical Skills Development: Apply theoretical knowledge through practical lab exercises.
  • 📚 Access to a Wide Range of Vendor Images: Easily access and utilize images for various vendors in your virtual labs.

Who is this course for?

  • Network Professionals seeking to enhance their skills with hands-on experience.
  • CCNA & CCNP aspirants looking for an innovative approach to learning and practicing.
  • IT students and educators who wish to supplement traditional learning methods with practical labs.
  • DevOps professionals aiming to expand their network emulation capabilities.

Enroll now and transform your networking expertise with the power of EVE-NG! 🌐

Course Gallery

EVE-NG Training Course to Build Virtual Labs – Screenshot 1
Screenshot 1EVE-NG Training Course to Build Virtual Labs
EVE-NG Training Course to Build Virtual Labs – Screenshot 2
Screenshot 2EVE-NG Training Course to Build Virtual Labs
EVE-NG Training Course to Build Virtual Labs – Screenshot 3
Screenshot 3EVE-NG Training Course to Build Virtual Labs
EVE-NG Training Course to Build Virtual Labs – Screenshot 4
Screenshot 4EVE-NG Training Course to Build Virtual Labs

Loading charts...

Related Topics

4426586
udemy ID
02/12/2021
course created date
24/12/2021
course indexed date
Bot
course submited by