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Professional Certificate

Professional Certificate in Infrastructure of the Metaverse

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Artificial Intelligence and Machine Learning for MetaverseTo be advised Classroom LearningTGS-2022015679
 To be advisedSynchronous e-LearningTGS-2022015678
Cloud Computing for MetaverseTo be advisedClassroom LearningTGS-2022015666
 To be advisedSynchronous e-LearningTGS-2022015672
Blockchain, Internet-Of-Things, and Ubiquitous AI for MetaverseTo be advisedClassroom LearningTGS-2022017238
 To be advised Synchronous e-LearningTGS-2022017239
Duration 6 days

Programme 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.

Programme 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
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This programme is part of

  • Advanced Professional Certificate in Immersive Technologies and Metaverse

    • Instructors


    Dr Ai Xin

    Dr Ai Xin

    Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi

    Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

    Dr Ganesh Neelakanta Iyer

    Dr Ganesh Neelakanta Iyer

    Dr Ganesh Neelakanta Iyer is a Lecturer in in the Department of Computer Science, National University of Singapore. Prior to this, he worked as a lead DevOps engineer at Salesforce.com. He had also served as an Associate Professor in the Department of Computer Science & Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. He has received his Bachelor’s degree in Computer Science and Engineering (University first rank) from Mahatma Gandhi University, Kerala, India in 2004 and Masters and PhD degrees from National University of Singapore in 2008 and 2012 respectively. He brings in a decade of industry experience in various companies including Sasken Communication Technologies, NXP semiconductors and Progress software. He has handled several roles in the software industry including QA Architect, Technical Support Manager, Engineering development and Technology Evangelist. He has strong inclination towards Game Theory. He applies game theory for handling conflicts, enforcing cooperation and for multi-agent systems. His technical knowledge and experience are in various areas including Cloud/Edge/Fog Computing Paradigms (including cloud platforms, containers and Kubernetes), Computer Networks, Software Engineering practices (Agile) and Quality Analysis, Economic models (Game Theoretic principles) and current day practices on cloud-based enterprise architectures, Machine Learning and technology for traditional Indian dance (such as Kathakali) popularization. His mathematical interests include game theory, graph theory, optimization principles etc. Over the past several years he has acquired practical knowledge and experience in various cutting-edge software engineering methodologies including Agile framework and has experience formulating and implementing various software engineering principles using Agile for large and small product development teams. Dr Iyer is active in doing practical industry-oriented research on the above topics of his interest. He also aspires to do research on technological innovations to popularize traditional classical arts such as Kathakali and Koodiyattam. He has published two book chapters in the “Encyclopaedia for Cloud Computing” in 2016 in addition to several book chapters, journals and conference publications. Dr. Iyer has delivered several practical workshops and talks on various cutting-edge technology topics in many academic and industry events in several countries including USA, Europe, Australia and Asia. Many of these were on the contributions made by him in his industry engagement for software quality analysis with current day software engineering principles such as Agile for application development involving cloud platforms, mobile platforms and IoT based systems. Dr Iyer is an IEEE Senior Member. He has been a reviewer of many internationals Journals including IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems and several international conferences. He was also the program chair for several international conferences including ICCCI and ICIWE. Dr Iyer has strong teaching skills and boundless passion for teaching. He was a visiting faculty at IIIT-H (International Institute of Information Technology Hyderabad), and has been teaching various subjects including “Game Theory for Computer Science”, “Computer Networks”, “Advanced Computer Networks” and “Scripting and Computer environments” for which, he has framed the syllabus, developed the materials and references, structured the grading scheme and formulated continuous assessment strategies. Further, he was a member of Board of Studies at JNTU-H (a premium university in India) where he participates in framing the syllabus for the university’s upcoming academic year. He is also an expert in performing Kathakali, a traditional Indian dance. He has composed a story in Kathakali and he spends a considerable amount of his personal time to uplift this traditional art by organizing Kathakali performances, workshops and demonstrations and performance by himself. He has also composed a Kathakali story “Sri Mookambika Mahathmyam” which has been staged in multiple venues in India.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$1,863.90 S$723.90 S$1,863.90 S$723.90 S$6,213.00
    1. Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. GST shall apply at prevailing rates.

    Connect with us

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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