Cloud Computing for Metaverse

Short Course

Cloud Computing for Metaverse

Programme Schedule	Duration (days)	Mode of Delivery	Programme Code
To be advised	2	Classroom Learning	TGS-2022015666
To be advised	2	Synchronous e-Learning	TGS-2022015672

Course Overview

This course will introduce one of the backbones of metaverse infrastructure – cloud computing. Cloud computing plays a critical role in filling the need for meeting infrastructure requirements in the metaverse and immersive technology-based applications. Major players such as Amazon Web Services (AWS) and Google Cloud Platform (GCP) offers several solutions to meet the infrastructure needs of metaverse.

This course will begin by introducing cloud computing and its role in immersive technologies. Containers and container orchestration using Kubernetes will be explained and a hands-on introduction to that topic will be provided. The role of containers and Kubernetes in immersive technologies will be introduced. Other key cloud technologies in immersive technologies areas such as computing, storage and serverless computing. will be explained so that participants understand the broad cloud landscape.

The course will also cover case studies, architectures and use cases from key industry leaders such as AWS and GCP on solving different kinds of customer requirements involving immersive technologies. It will help learners to understand the role of cloud computing in the metaverse, the different cloud technologies they need to master for a successful career in this area and its future outlook. Some of the key cloud technologies that will be covered include containers, container orchestration, computing, serverless computing, storage etc. The majority of the large and medium-scale industries depend on cloud computing to meet their infrastructure needs. Several industries such as Singapore Tourism Board, Ford, Amazon and KDDI. are powered by cloud computing to meet various needs enabled by immersive technologies.

This course will help learners understand how cloud technologies help those industries succeed in their metaverse journey.

Course Objectives

This is a uniquely designed course to enable learners to:

Understand the role of cloud computing in the immersive technologies landscape
Understand the need for cloud computing to meet the infrastructure requirement of the metaverse

Who Should Attend

Cloud Engineers
Backend Engineers
Infrastructure Engineers
DevOps Engineers
Site Reliability Engineers (SRE)
Infrastructure Architects

Prerequisites

Some knowledge and understanding of immersive technologies and the metaverse.

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This programme is part of

Professional Certificate in Infrastructure of the Metaverse

Types of Available Fundings

SkillsFuture Credit

UTAP

PSEA

Enhanced Training Support

SFEC

Instructors

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	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Programme Fee	S$1,900.00	S$1,900.00	S$1,900.00	S$1,900.00	S$1,900.00
Less: SSG Grant Amount	S$1,330.00	S$1,330.00	S$1,330.00	S$1,330.00	-
Nett Programme Fee	S$570.00	S$570.00	S$570.00	S$570.00	S$1,900.00
9% GST on Nett Programme Fee	S$51.30	S$51.30	S$51.30	S$51.30	S$171.00
Total Nett Programme Fee Payable, Including GST	S$621.30	S$621.30	S$621.30	S$621.30	S$2,071.00
Less Additional Funding	-	S$380.00	-	S$380.00	-
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes	S$621.30	S$241.30	S$621.30	S$241.30	S$2,071.00

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
GST shall apply at prevailing rates.
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
Singaporeans and Singapore PRs are eligible for up to 90% SkillsFuture Singapore (SSG) funding, subject to SSG funding guidelines.

Other Information

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

Dr Ganesh Neelakanta Iyer

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