Short Course

Generative Artificial Intelligence

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
25 Nov, 26 Nov 2024 | 9am-5.30pm2Classroom LearningTGS-2023022203

Course Overview

This course will provide students with a basic understanding of generative Artificial Intelligence (AI) models, their applications, and the underlying techniques used to create them. Students will learn about various generative models, such as Generative adversarial networks (GANs), Variational autoencoders (VAEs), and Transformer-based architectures like Generative Pre-trained Transformer (GPT). They will gain hands-on experience in implementing these models using popular frameworks, and apply them to a variety of tasks, including image synthesis, text generation, and creative AI applications.

Course Objectives

By the end of the course, students will be able to:

  • Understand the principles and concepts behind generative AI models, including GANs, VAEs and Transformer-based architectures like GPT
  • Apply the knowledge gained to implement generative models using popular frameworks.

Prerequisites

Basic Python programming skills. Click to view the course detail of Python Programming.

Testimonials


A good overview of Gen AI landscape and with code samples to let you continue to explore offline.

Great content. Need more time allocated for the Gen AI course.

Less theory and more practical application.

Dr. Ai Xin is a very good teacher. I would encourage those who would like a technical overview of the various AI models to attend this course but those who only want to just use generative AI may find this technically heavy.

It is a good introductory course for those without prior generative AI knowledge.

The teacher was amazing and she did her best with the time span.

The course is amazing and it really helps to upskill my knowledge in the NLP space.

Dr Ai Xin is very patient and tactful when answering difficult questions.

Attending the Generative AI short course was an enlightening experience. The lecturer's expertise made complex concepts understandable, and the course was flawlessly organizes. It's suitable for both beginners and experts alike, making it highly recommended for anyone interested in delving into the fascinating world of Generative AI.

The course strikes the perfect balance on how much technical details are taught. The concepts are taught well.

A good course that covers the theoretical understanding of GenAI, from concepts to implementation.

Instructors


Dr Ai Xin

Programme Fees


Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old
or younger
40 years old
or older
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
  1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
  2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
  3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

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.