Software Defined Networking (SDN) and Network Function Virtualization (NFV) Training Course

Introduction

The Software Defined Networking (SDN) and Network Function Virtualization (NFV) Training Course provides participants with cutting-edge expertise in two of the most transformative technologies reshaping modern network infrastructures. SDN and NFV are redefining how networks are designed, managed, and optimized, offering scalability, flexibility, and efficiency in both enterprise and service provider environments.

This course begins by demystifying the principles of SDN, focusing on centralized control, programmability, and abstraction layers that separate the control plane from the data plane. Learners will explore how SDN simplifies complex network operations while enabling dynamic resource allocation and policy-driven management.

Equally, the course delves deeply into NFV, which allows network services to run on virtualized hardware rather than dedicated appliances. Participants will gain hands-on experience in virtualizing network functions such as firewalls, load balancers, and WAN optimizers, enhancing cost-effectiveness and agility.

Real-world scenarios are integrated throughout the training, highlighting how SDN and NFV are applied in enterprise networks, telecom operators, cloud environments, and data centers. The course emphasizes interoperability, standards, and best practices for designing robust and secure virtualized infrastructures.

Additionally, participants will explore emerging technologies integrated with SDN and NFV, such as intent-based networking, AI-driven automation, 5G, and edge computing. These insights prepare learners to anticipate future challenges while harnessing innovation for digital transformation.

By the end of this program, participants will possess the knowledge and skills to design, implement, and manage SDN and NFV solutions, positioning themselves as leaders in the evolution of next-generation networking technologies.

Who Should Attend

• Network Engineers and Administrators
• Systems and Infrastructure Engineers
• Cloud and Data Center Professionals
• Network Architects and Designers
• IT Managers and Infrastructure Leads
• Telecommunications and ISP Engineers
• Systems Integrators and Consultants
• Cybersecurity Professionals focusing on virtualized networks
• Professionals in 5G and edge computing environments
• DevOps Engineers managing network automation
• Researchers and Academia in networking technologies
• Anyone preparing for careers in SDN and NFV-enabled architectures

Duration

10 Days

Course Objectives

By the end of this course, participants will be able to:

• Understand SDN architecture and principles.
• Explain the role of NFV in modernizing network functions.
• Design and configure SDN controllers and switches.
• Implement NFV solutions for virtualized network services.
• Analyze interoperability challenges and solutions in SDN/NFV.
• Troubleshoot SDN and NFV deployments effectively.
• Integrate automation and orchestration into SDN/NFV systems.
• Explore SDN and NFV applications in cloud and 5G networks.
• Enhance security in virtualized and programmable networks.
• Apply real-world case studies of SDN and NFV implementations.
• Leverage AI and machine learning in SDN/NFV optimization.
• Prepare strategies for scalable and future-ready network design.

Comprehensive Course Outline

Module 1: Introduction to SDN and NFV

• Evolution of networking technologies
• Fundamentals of SDN architecture
• NFV principles and key components
• Drivers and benefits of SDN/NFV adoption

Module 2: SDN Architecture and Protocols

• Control plane vs. data plane separation
• Southbound and northbound APIs
• OpenFlow and alternatives
• SDN controller architectures

Module 3: NFV Infrastructure and Components

• NFV Infrastructure (NFVI) basics
• Virtual Network Functions (VNFs)
• MANO (Management and Orchestration)
• Deployment models of NFV

Module 4: SDN Controllers and Applications

• OpenDaylight and ONOS platforms
• Policy-driven networking
• SDN apps and use cases
• Controller high availability

Module 5: Virtualization of Network Functions

• Firewalls and IDS/IPS virtualization
• Load balancing with NFV
• WAN optimization functions
• Case studies of VNF deployment

Module 6: Automation and Orchestration

• Orchestration tools (OpenStack, Kubernetes)
• Network service chaining
• Automation workflows in SDN/NFV
• Policy-based orchestration

Module 7: Security in SDN and NFV

• Vulnerabilities in programmable networks
• Protecting SDN controllers
• NFV security challenges
• Zero Trust approaches in SDN/NFV

Module 8: SDN in Enterprise Networks

• Campus and LAN optimization
• WAN automation with SDN
• SD-WAN deployment models
• Hybrid enterprise networking

Module 9: NFV in Service Provider Networks

• NFV for telecoms and ISPs
• Virtualized IMS and EPC
• Role of NFV in 5G
• Real-world service provider deployments

Module 10: Monitoring and Troubleshooting

• Performance monitoring tools
• SDN and NFV troubleshooting methods
• Packet analysis in virtualized networks
• Fault detection frameworks

Module 11: Cloud and Data Center Integration

• SDN for cloud automation
• NFV in virtualized data centers
• Overlay networks and tunneling protocols
• Data center case studies

Module 12: Emerging Technologies with SDN/NFV

• AI and ML in networking optimization
• Edge computing integration
• Intent-based networking
• Blockchain in programmable networks

Module 13: Hands-On Labs and Simulations

• Configuring OpenFlow rules
• Deploying VNFs in lab environments
• SDN controller setup and management
• Network service chaining demo

Module 14: Case Studies and Best Practices

• Enterprise SDN/NFV implementations
• Service provider transformation examples
• Government and defense use cases
• Lessons learned from deployments

Module 15: Capstone Project

• Designing an SDN-enabled network
• Implementing VNFs with orchestration
• Troubleshooting complex scenarios
• Presentation of solutions

Module 16: Future of Networking with SDN and NFV

• Trends in network programmability
• 5G and beyond with SDN/NFV
• Role of AI in future networks
• Career pathways in virtualized networking

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.