Length: 2 Days
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6G Cloud & Edge Computing Training

6G Cloud & Edge Computing training is a 2-day course where participants learn the basics of cloud and edge computing and these technologies are key conduits for 6G.

Participants also learn the benefits of Edge Computing & types of Edge.

Edge computing is a technology that enables 6G development by bringing cloud capabilities closer to end users to overcome traditional cloud flaws such as high latency and a lack of security.

As it stands now, 6G networks are expected to bring networking technologies with high throughput, massive connections, and pervasive coverage, enabling the Industrial Internet of Things (IIoT) that requires ultra-low latency and ultra-high reliability, such as intelligent transportation systems and smart factories.

In other words, edge computing pushes computation resources to the edge of networks, away from cloud centers and close to data sources. Edge intelligence derives from the convergence of edge computing with the exploitation of artificial intelligence (AI) technologies on distributed edge infrastructures and terminal devices.

Edge intelligence fundamentally shortens data transmission delay, protects data privacy, and improves network security, which promotes the implementation of 6G-enabled IIoT.

Consequently, the edge intelligence for 6G-enabled IIoT has attracted widespread attention.

Cloud and edge computing will likely play a major role in 6G because of the evolution of wireless communications itself.

6G is predicted to provide not only huge bitrates (terabits per second) and lower latency (less than 1 ms), but also enabling a “hyper-connected” paradigm that will connect users and things.

6G networks are envisioned to fully and seamlessly integrate various verticals such as Internet of things (IoT), aerial networks (aka drones), satellite access, and underwater communication. To keep up with this staggering expectation, future 6G networks will heavily rely on state-of-the-art artificial intelligence (AI) and machine learning (ML) technologies for intelligent network operations and management.

In addition to the infrastructural transformations, 6G networks are also expected to support computationally intensive services and applications. To support the two major transformations in network infrastructures and network services, edge computing has gained significant attention and is considered as a built-in service in 6G networks.

Along with cloud and edge computing, AI is also foreseen as playing a major role within 6G, and thus more computation and communication resources will be consumed. Consequently, their optimization is a must.

Additionally, there are an increasing number of new applications such as pervasive edge intelligence, ultra-massive machine-type communications, extremely reliable ultra-low-latency communications, holographic telepresence, eHealth and Parkinson’s disease applications, pervasive connectivity in smart environments, UAV, autonomous driving, Internet of Things (IoT), robotics, industry 4.0 and massive robotics, massive unmanned mobility in three dimensions, and augmented reality (AR) and virtual reality (VR).

Many future data-intensive applications and services such as pervasive edge intelligence, holographic rendering, high-precision manufacturing, ultra-massive machine-type communications, and MR-based gaming are expected to demand a higher data rate (+1Tbps) and extremely low delay (0.1ms).

6G Cloud & Edge Computing Training by Tonex

6G Cloud & Edge Computing Training and Certification is a 2-day course where participants learn about 6G with special emphasis on how the cloud and edge computing are expected to play major roles with 5G’s successor.

This course will help participants gain knowledge on how 6G will likely be enabling the integration of diverse technologies such as AI, robotics, cloud, and edge computing.

Edge computing is computing approach that’s done at or close to the supply of the information, rather than wishing on the cloud at one in all a dozen information centers to try to to all the work.


Who Should Attend

  • Network Engineer & Architect
  • Product engineer & designer
  • Systems engineer
  • Healthcare technician
  • Mechanical/ Trouble-shooting professional 
  • Engineering Project management chief
  • RF engineers & scientists,
  • Software testing engineers, analysts,
  • Engineering managers,
  • Antenna technicians,
  • Field measurement technicians
  • Project planners


  • Learn about  6G Cloud  
  • Describe the key Fundamentals of Edge Computing in 6G 


Program Outline

  • Basics of Cloud Computing
  • Edge Computing basics & Use-Cases
  • Benefits of Edge Computing & Types of Edge
  • Edge Deployment Modes / Solutions
  • 5G / 6G Edge Computing
  • Fundamentals of Multi-access Edge Computing (MEC)
  • Mobile Edge Computing Fundamentals
  • Workshop/ Case studies and more.

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  • Please complete the following form and a Tonex Training Specialist will contact you as soon as is possible.

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