
5G E2E Deployment: NFV and Network Slicing
This Learning Path dives into the deployment of 5G End-to-End (E2E) networks, focusing on Network Function Virtualization (NFV) and network slicing. Starting with the basics of NFV architecture and its role in 5G, you'll explore the concepts and implementation of network slicing for diverse use cases. Through hands-on labs, you'll gain practical experience in deploying virtualized network functions (VNFs), configuring slices, and managing E2E workflows, preparing you to design and deploy scalable and efficient 5G networks.
About The Learning path
Audiences
Learning Path Flow:

Lab Architecture:
The Lab architecture seamlessly integrates cutting-edge technologies to create a comprehensive environment for 5G, which includes a 5G core Network equipped with a gNodeb and a UE that allow the user to test the different end-to-end use cases in 5G.

Lab Objectives:
- Develop the ability to assess 4G and 5G networks from an end-to-end (E2E) engineering perspective, optimizing architecture, latency, and throughput.
- Gain knowledge in 5G NR advancements to ensure seamless radio and core integration
- Master the full stack of 5G protocols—NGAP, GTP, SCTP, HTTP/2—and understand their interactions across the RAN, transport, and core network for efficient troubleshooting and optimization.
- Acquire hands-on experience with E2E traffic analysis using Wireshark, focusing on signaling flows, DNS resolution, PDU session establishment, and user-plane data inspection for network validation.
Lab Architecture:
This Hands-On Training consists of an ETSI-MANO Release 15 5G Core Network connected to a radio access network and a UE. The goal is to set up different slicing scenarios for 5G.

Lab Objectives:
- Gain deep expertise in 5G core architecture, understanding control and user planes in telecom networks.
- Develop hands-on skills in deploying and managing VNFs using Kubernetes-based cloud-native NFVI.
- Learn ETSI NFV standards, 5G slicing, and orchestration for scalable network functions.
- Build proficiency in configuring and managing 5G core workloads with Kubernetes.
- Enhance your ability to optimize UPF for different verticals and implement 3GPP-compliant slicing.
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