Ultimate Network Administrator Course

The Ultimate Network Administrator Course is a comprehensive, hands-on training programme covering the core skills and knowledge relevant to modern network administration, from fundamental concepts through to practical configuration, security, monitoring, and AI-assisted workflows. The course begins with setting up Cisco Packet Tracer as a lab environment, giving students a practical space to simulate and work through real network scenarios. Hands-on exercises are completed inside a virtualised lab environment throughout, covering network fundamentals and terminology, IP addressing and subnetting across IPv4 and IPv6, routing and switching configuration, and VLAN setup and management. Network services including DHCP and DNS are covered in practical detail, alongside firewall configuration and network security principles including traffic control, network segmentation, and common threat mitigation techniques. A significant portion of the course is dedicated to guided Cisco Packet Tracer labs, giving students direct, practical experience configuring routers, switches, VLANs, routing protocols, and network services in a simulated environment. The course also covers network monitoring, documentation practices, and a structured approach to troubleshooting, as well as AI-assisted network administration using ChatGPT and Claude for configuration generation, issue diagnosis, and documentation. The content throughout is relevant to students preparing for CompTIA Network+ or Cisco CCNA certifications. The course is designed for complete beginners new to IT and networking, helpdesk and support professionals looking to move into a networking role, career changers entering IT through networking, certification candidates, and working network administrators wanting to formalise or broaden their existing skills. Please note that this course is intended for educational purposes only. Upon completion, students receive a Certificate of Completion suitable for adding to a résumé or LinkedIn profile.