Cisco Switch GNS3 Lab: IOS Config & Ansible Automation [IaC]

About this course

This hands-on lab course, Cisco GNS3 IOS Config with Ansible & Linux, is designed to equip network professionals and enthusiasts with practical skills in network automation and Infrastructure as Code (IaC). Using GNS3 to simulate real-world Cisco environments, learners will gain experience configuring IOS devices, managing Linux systems, and automating repetitive network tasks with Ansible.In today’s fast-paced IT landscape, network automation is no longer optional. Manual configurations are time-consuming, error-prone, and inefficient. By learning to implement IaC principles and automation workflows, network engineers can ensure consistency, scalability, and faster deployment of network services. This course emphasizes practical application, preparing learners for real-world scenarios in enterprise and cloud network environments.The advantages of mastering GNS3, Linux, and Ansible are significant. Learners will develop the ability to automate network provisioning, reduce operational errors, and streamline network management. The skills gained in this course also improve collaboration between network and DevOps teams, bridging the gap between traditional networking and modern software-driven infrastructure. With these competencies, professionals can tackle complex networks confidently and efficiently.This course is ideal for network engineers, system administrators, DevOps practitioners, IT students, and anyone seeking to advance their career in network automation. Whether you are preparing for certifications, transitioning from manual network management, or aspiring to work in large-scale, automated environments, this course provides the foundation and hands-on practice needed to succeed.By completing this course, learners will not only gain technical proficiency but also an understanding of the broader impact of automation on IT operations. As organizations increasingly adopt cloud technologies, software-defined networking, and automated workflows, professi