Professional Certificate in Infrastructure of the Metaverse

Dates:

Artificial Intelligence and Machine Learning for Metaverse:
6 Nov, 7 Nov 2023 | 9am-5.30pm | Classroom Learning

Cloud Computing for Metaverse:
22 Nov, 23 Nov 2023 | 9am-5.30pm | Classroom Learning

Blockchain, Internet-Of-Things, and Ubiquitous AI for Metaverse:
11 Dec, 12 Dec 2023 | 9am – 5.30pm | Online

 

Duration: 6 Days

Course Overview

Infrastructure of the metaverse is the backbone of the emerging technology. The metaverse refers to a virtual world or universe that is shared by millions of users and is fully immersive, interactive, and persistent.

The infrastructure of the metaverse is important because of:

  • Scalability: The infrastructure of the metaverse must be able to support a large number of users simultaneously, and as the metaverse grows in popularity, the number of users will increase exponentially. The infrastructure must be able to scale to meet this demand, or risk crashing or becoming unusable.
  • Security: The metaverse will contain vast amounts of sensitive data, such as personal information, financial transactions, and virtual assets. The infrastructure must be secure and protected from hackers and other malicious actors.
  • Interoperability: The metaverse will likely consist of multiple platforms, applications, and virtual worlds, and the infrastructure must be able to connect these disparate systems and enable interoperability.
  • Performance: The metaverse must offer a seamless and immersive experience for users, with high-quality graphics, low latency, and fast load times. The infrastructure must be optimised for performance to ensure a smooth and enjoyable user experience.
  • Accessibility: The infrastructure of the metaverse must be accessible to users regardless of their location or device. This requires a robust and reliable network infrastructure that can support a wide range of devices and internet connections.

Overall, the infrastructure of the metaverse is important because it will determine the success of this emerging technology. As the metaverse becomes more mainstream, the infrastructure must be able to support a large number of users, provide a secure and seamless experience, enable interoperability, optimize performance, and ensure accessibility for all users.

Course Objectives

This PC will equip learners with the following competencies:

  • Understand how Artificial Intelligence (AI) and Machine Learning (ML) play an integral role in the foundation and development of Metaverse
  • Design a viable business idea using AI and ML to support the Metaverse
  • Learn how cloud computing plays a role in the metaverse
  • Gain an understanding of the various cloud technologies required for metaverse and immersive technology applications
  • Understand how Blockchains, the Internet of Things, and ubiquitous Artificial Intelligence (AI) can be used in the Metaverse.
  • Discover the benefits of applying disruptive technologies (Blockchain, Internet of Things (IoT), and ubiquitous Artificial Intelligence) in the Metaverse

Job Role Readiness

This PC will prepare learners in the following job roles to perform their responsibilities more effectively:

  • Executives, Developers, Designers and Managers in IT-related fields, business development, strategic planning, operations, Cloud Engineers, and Infrastructure Architects

Who Should Attend

This programme is designed for professionals and mid-career Professionals, Managers, Executives and Technicians (PMETs).

Prerequisites

  • At least a polytechnic diploma
  • Some knowledge and understanding of immersive technologies and the metaverse
  • Basic metaverse knowledge

Course Conveners

(Click their photos to view their short biographies)

ddddd Ai Xin

Dr Ai XinDr Ai Xin

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

ddddd Ganesh Neelakanta Iyer

Dr Ganesh Neelakanta LyerDr Ganesh Neelakanta Iyer

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Codes
Artificial Intelligence and Machine Learning for Metaverse
TGS-2022015679 / TGS-2022015678 (Synchronous e-learning)

Cloud Computing for Metaverse
TGS-2022015666 / TGS-2022015672 (Synchronous e-learning)

Blockchain, Internet-Of-Things, and Ubiquitous AI for Metaverse
TGS-2022017238 / TGS-2022017239 (Synchronous e-learning)