Enhance your engineering skills and understanding of 5G NR Multi-Access Edge Computing. Learn from engineers at Qualcomm Technologies: a global pioneer in 5G technology.
Why Take This Course?
Enhance your industry knowledge and skills by gaining a greater understanding of 5G NR Multi-Access Edge Computing.
Train with engineers at Qualcomm Technologies – a world leader in 5G technology and wireless engineering.
Participate in a professional development opportunity you can display on your resume/CV and LinkedIn profile.
Learn how 5G NR multi-access edge computing (MEC) brings applications, storage, switching, and control functions closer to the location where they’re needed, improving data processing and reducing latency.
Learn how increased efficiency from moving on-device processing to the cloud allows for faster response times and lower battery usage, bringing the potential to transform industries such as manufacturing, transportation, entertainment, and more.
Edge computing benefits, applications, and related technologies.
Overview of MEC and 5G architecture, MEC technology enablers, and deployment considerations.
Detailed overview of 5G MEC architecture, including interfaces, building blocks, and routing mechanisms.
Service-based interface approach of 5G and integration with MEC.
Session service continuity modes.
Multi-homing, uplink classifiers, and LADN.
Network function virtualization (NFV) in MEC.
Software defined networking (SDN) in MEC.
Role of edge intelligence.
Deployment models and challenges for MEC.
You are a Network Engineer, System Engineer, and/or Manager.
Introduce edge computing and technologies that promote its development
Explain different network architecture approaches for 5GC
Discuss service-based interface approach of 5G and integration with MEC
Explain selection and placement of the user Plane Function (UPF) along the data plane
Describe various session and service continuity (SSC) modes and their differences
Illustrate multi-homing, uplink classifiers and local area data network (LADN)