Artificial Intelligence and
Machine Learning for Metaverse

Date: TBA

Duration: 2 Days

Course Overview

This course helps learners understand the role of Artificial Intelligence (AI) and Machine Learning (ML) in the foundation and development of the Metaverse. Topics such as supervised machine learning, unsupervised machine learning and deep learning will be covered. Through relevant case studies, learners will get an operational understanding on how these technologies support the operations of the Metaverse.

This module is part of Professional Certificate in Infrastructure of the Metaverse.

Course Objectives

At the end of this course, learners should be able to:

  • Understand how AL and ML can be used to analyse the data collected in Metaverse
  • Apply Machine Learning (ML) models to solve clustering, classification and regression problems in Metaverse
  • Apply Deep Learning (DL) models to develop computer vision and Natural Language Processing (NLP) tasks in Metaverse
  • Create a viable business idea that supports the Metaverse using AI and ML technology

Who Should Attend

Executives, Developers, Designers and Managers in IT-related fields, business development, strategic planning, operations.

Prerequisites

Minimum Diploma in IT or related fields. 

Course Convener

(Click their photos to view their short biographies)

ddddd Ai Xin

Dr Ai XinDr Ai Xin

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 Code:
TGS-2022015679 (Classroom Learning)
TGS-2022015678 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

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