1 - 5 Dec 2025
London (UK)
Hotel : Landmark Office Space - Portman Street
Cost : 6000 € Euro
This advanced-level training program, designed by Global Horizon Training Center, delves into the complex and high-performance networking systems that form the backbone of modern data centers. With the rapid rise of virtualization, cloud computing, software-defined networking (SDN), and edge computing, data center professionals must be equipped with deep technical knowledge and strategic insights to build and manage robust networking infrastructure.
This program provides a comprehensive exploration of advanced data center networking, including spine-leaf architecture, Layer 2 and Layer 3 integration, SDN, network function virtualization (NFV), overlay networks, high availability, and network automation. The training equips participants with the skills needed to design, optimize, and troubleshoot modern data center networks that are scalable, secure, and future-ready.
By the end of this training program, participants will be able to:
Design and implement scalable Layer 2 and Layer 3 data center network architectures.
Deploy spine-leaf and fabric-based topologies for high-performance environments.
Apply Software-Defined Networking (SDN) and Network Function Virtualization (NFV) concepts.
Manage overlay technologies such as VXLAN, NVGRE, and Geneve.
Optimize traffic flow, redundancy, and high availability.
Automate network operations and apply orchestration tools (e.g., Ansible, Python scripting).
Monitor, analyze, and troubleshoot network issues using industry best practices.
Instructor-led technical sessions
Live network simulation and lab demonstrations
Case studies from real-world enterprise and cloud data centers
Group-based network design exercises
Hands-on exposure to SDN controllers and network automation tools
Interactive discussions and peer learning
Organizations that invest in this training will benefit from:
Robust and scalable data center networks supporting business-critical services
Improved network performance, uptime, and resilience
Reduced network operational costs through automation and orchestration
Enhanced security through segmentation and programmable policies
Future-proof infrastructure ready for cloud, AI, and edge computing demands
Stronger internal capabilities in troubleshooting and optimizing complex network environments
Data Center Network Engineers and Architects
Senior Network Administrators
IT Infrastructure and Operations Managers
Cloud Engineers working with virtualized networking
Systems Integrators and Network Consultants
Professionals preparing for Cisco, Juniper, or other data center certifications
Day 1: Modern Data Center Network Architecture
Evolution from traditional 3-tier to spine-leaf topology
Layer 2 vs. Layer 3 design in data centers
VLANs, Trunking, STP alternatives (e.g., TRILL, SPB)
VXLAN, EVPN, and overlay network introduction
Traffic flow patterns and segmentation requirements
Day 2: Spine-Leaf Design and Fabric Technologies
Design principles of spine-leaf architecture
Equal-cost multi-path (ECMP) routing
Fabric management and scaling strategies
Integration with SD-Access and network virtualization
Network convergence, latency optimization, and scalability
Day 3: Software-Defined Networking (SDN) and Virtualization
SDN architecture and components
OpenFlow protocol and SDN controllers
Introduction to NFV and its use in virtualized data centers
Cisco ACI / VMware NSX overview
Policy-based network management and segmentation
Day 4: Network Automation and Orchestration
Introduction to network automation tools (Ansible, Terraform, Python)
Automating common tasks: configuration, provisioning, validation
Intent-based networking and model-driven telemetry
REST APIs and programmable interfaces
DevOps and NetDevOps principles in network operations
Day 5: Security, Monitoring, and Troubleshooting
Securing the data center network: microsegmentation, ACLs, firewalls
Real-time monitoring and performance metrics (SNMP, NetFlow, sFlow)
Troubleshooting network bottlenecks and failures
High availability, failover strategies, and redundancy design
Final case study: Design and simulation of an advanced data center network