
Install and configure dynamic routing with eBGP and IBGP across a three-site lab using Ubuntu 24 server, GRE over IPsec, and Ansible automation to ensure high availability and fault tolerance.
Learn how BGP enables global internet connectivity by routing between autonomous systems, using path vector, policy-driven routing, and ASN-related controls.
Discover why BGP outperforms static routing by dynamically adapting to network changes and providing redundancy across multiple sites. Learn advanced BGP policies and automation for scalable, self-healing networks.
Explore how eBGP acts as the glue of the internet, enabling secure, policy-driven inter-domain routing between autonomous systems, with TCP 179, path vector, and safeguards like RPKI and prefix limits.
Discover how BGP powers internet resilience through multi-homing and automatic failover, with policy-driven routing, AS path prepending, and owning your own IP space.
Learn how bgp detects a failed neighbor via keep-alives and the hold timer, clears the rib, and rapidly reroutes traffic with alternate paths and bfd to minimize convergence.
Discover how IPsec enables secure site-to-site VPNs with confidentiality, data integrity, and origin authentication, using AH, ESP, and IK, plus transport vs tunnel modes and automatic re-keying for forward secrecy.
Explore why encryption is essential for site-to-site connectivity, using VPNs, TLS, and IPsec tunnels to protect authentication, confidentiality, and integrity, and adopt zero-trust architecture.
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.