Professional Certificate in Infrastructure of the Metaverse
Artificial Intelligence and Machine Learning for Metaverse: 12 Jul, 13 Jul 2023 | 9am-5.30pm | Classroom Learning
Cloud Computing for Metaverse: 20 Jul, 21 Jul 2023 | 9am-5.30pm | Classroom Learning
Blockchain, Internet-Of-Things, and Ubiquitous AI for Metaverse: 24 Jul, 25 Jul 2023 | 9am – 5.30pm | Online
Duration: 6 Days
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).
- At least a polytechnic diploma
- Some knowledge and understanding of immersive technologies and the metaverse
- Basic metaverse knowledge
(Click their photos to view their short biographies)
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 on teaching Artificial Intelligence and Data Science courses, e.g. machine learning, deep learning, data mining and etc.
She graduated from NUS with a PhD degree on Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks.
She worked in BHP Billiton Marketing Asia for eight years and gained a lot of industry experience through different functions, e.g. risk management, supply chain management, sales and marketing planning and etc.
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 the 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 Lyer
Dr Ganesh Neelakanta Lyer
Dr Ganesh Neelakanta Lyer 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.
Dr Lu Weiquan
Dr Lu Weiquan
Dr Lu Weiquan is a Senior Lecturer at the School of Computing in NUS who examines the User Experience (UX) Design of technologically-empowered learning environments. He designs and utilizes experiential learning technology (such as simulations, Augmented and Virtual Reality) in the courses he teaches, and his education research interests include figuring out how all this technology tangibly and measurably affects human learning using Machine Learning and Artificial Intelligence. He also advises the government in the fields of UX design and experiential learning, and he develops Metaverse applications for industry clients. He holds a B.Comp. in Computing and a Ph.D. in Electrical and Computer Engineering from NUS.
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 firstname.lastname@example.org
To register, click Register
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)
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