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AI Agent SKILL Network Lab: Ubuntu, BGP, IPsec, GRE, Ansible
New
11 students

AI Agent SKILL Network Lab: Ubuntu, BGP, IPsec, GRE, Ansible

HA FT U24 Hands-on Ubuntu 24 lab with KVM, Vagrant, FRR, BGP, GRE, IPsec and Ansible using reusable AI agent skill files
New
Created byMana Dowlatshahi Yeganeh
Last updated 7/2026
English

What you'll learn

  • AI Agent Ubuntu Network Lab: BGP, IPsec, GRE Basics
  • Build Ubuntu 24 VM labs with KVM, Vagrant & Ansible. Practice BGP, IPsec, GRE, FRR & AI agent workflows.
  • Ubuntu AI Agent Lab: BGP, IPsec, GRE with Ansible
  • Hands-on Ubuntu 24 infrastructure lab using KVM, Vagrant, FRR and AI agents for install, config and troubleshooting.
  • Practical Ubuntu Networking Lab with AI Agent Skills
  • Create multi-VM labs using KVM, FRR, BGP, IPsec, GRE and Ansible with AI agent skills for practical learning.
  • Ubuntu 24 AI Agent Lab: KVM, BGP, IPsec & GRE Basics
  • Learn practical server networking with Ubuntu VMs, FRR routing, tunnels, automation and AI agent skill files.
  • AI Agent Infrastructure Lab: Ubuntu, KVM & Networking
  • Practice Ubuntu 24 VMs, FRR BGP, IPsec, GRE, Vagrant and Ansible with AI agent skill files in hands-on labs.

Course content

2 sections • 18 lectures • 1h 58m total length

  • AI Agent SKILL Network Lab: Ubuntu, BGP, IPsec, GRE, Ansible1:02:18
  • New to Linux Virtualization? Start Here First0:22
  • Advantages0:08
  • Use Cases0:08
  • Disadvantages / Limitations0:11
  • Common Problems and Solutions0:35
  • Frequently Asked Questions (FAQs)0:41
  • linux_ubuntu_bgp_bfd_ipsec_gre_ipv4_ipv6_routing_ansible_ai_agent_skills.zip0:01

Requirements

  • Learners should have basic understanding of Linux command-line usage, networking fundamentals, and virtualization concepts. Familiarity with Ubuntu or another Linux distribution is helpful but not mandatory. Students should understand basic concepts such as IP addresses, subnetting, routing, network interfaces, SSH access, and server administration. A computer capable of running multiple virtual machines is recommended. The lab environment uses KVM/QEMU virtualization, Ubuntu 24 Server virtual machines, Vagrant, and Ansible. Learners should have sufficient CPU, memory, and storage resources to create a small multi-VM environment. Basic knowledge of networking concepts such as routers, gateways, private/public IP addresses, TCP/IP, and VPN concepts will help students understand the practical exercises faster. No advanced BGP, IPsec, virtualization, or programming knowledge is required. The course starts with lab preparation and installation, then gradually moves into configuration, verification, and troubleshooting. Students should be willing to practice, experiment, make mistakes, and troubleshoot problems. The goal is not memorizing commands but developing practical infrastructure problem-solving skills using Linux, automation, and AI-assisted workflows.

Description


AI Agent Network Lab: Ubuntu, BGP, IPsec, GRE, Ansible is a practical hands-on infrastructure lab course designed to help learners build and operate a realistic multi-server networking environment using Ubuntu 24 Server virtual machines, KVM/QEMU virtualization, Vagrant, Ansible automation, FRR routing software, and AI agent skill files.

This course focuses on building a basic but realistic network infrastructure lab where multiple Ubuntu servers represent sites, edge routers, and ISP connections. Learners will practice configuring dynamic routing with BGP (eBGP and iBGP), creating secure site-to-site IPsec tunnels, building GRE tunnels, managing public/private IP connectivity, and automating infrastructure deployment using Ansible.

The course also introduces the use of AI agents with skill files to assist with infrastructure tasks such as installation, configuration, verification, troubleshooting, documentation, and operational workflows. The AI agent approach can be used with different AI coding assistants and automation tools.

Why is this course important?

Modern infrastructure teams need practical skills in Linux networking, automation, virtualization, and AI-assisted operations. Traditional networking knowledge alone is not enough; engineers increasingly need the ability to build test environments, automate deployments, troubleshoot systems, and use AI tools effectively.

This course provides a safe virtual lab environment where learners can experiment with routing, tunnels, automation, and troubleshooting without requiring expensive physical hardware.

Advantages of this course

  • Build real-world Linux networking skills using practical labs.

  • Learn how enterprise-style site connectivity works.

  • Understand BGP routing concepts through hands-on configuration.

  • Practice secure connectivity using IPsec and GRE tunnels.

  • Learn infrastructure automation with Ansible.

  • Develop AI-assisted troubleshooting and operational skills.

  • Create reusable lab environments using KVM and Vagrant.

  • Improve confidence before working with production infrastructure.

Who should learn this course?

This course is suitable for beginners and intermediate learners who want practical experience with Linux infrastructure networking. It is useful for Linux administrators, network engineers, DevOps beginners, cloud engineers, security learners, and students preparing for real-world infrastructure roles.

Future relevance

Infrastructure is moving toward automation, software-defined networking, and AI-assisted operations. Skills such as Linux networking, automation, virtualization, and AI agent workflows will become increasingly important for system administrators, DevOps engineers, network engineers, and cloud professionals.

This course provides foundational practical experience that can support future learning in advanced routing, cloud networking, Kubernetes networking, security infrastructure, and automation engineering.



Who this course is for:

  • 1. Linux System Administrators Learn how Linux servers participate in real network environments. Practice routing, VPN tunnels, automation, and troubleshooting. Improve infrastructure management skills beyond basic server administration.
  • 2. Network Engineers & Network Students Understand BGP, GRE, and IPsec concepts through practical labs. Build ISP and multi-site style environments. Gain Linux-based networking experience using FRR.
  • 3. DevOps & Cloud Beginners Learn infrastructure-as-code concepts using Ansible. Practice repeatable VM deployment workflows. Understand the networking foundation behind cloud platforms.
  • 4. AI-Assisted Infrastructure Learners Learn how AI agents can support configuration, verification, and troubleshooting. Develop modern operational workflows using AI skill files. Prepare for future AI-driven IT operations.

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