Date: 23 September 2026
Duration: 1 day
Level: Basic
Venue: Singapore University of Social Sciences
Synopsis
Introduction to Generative Artificial Intelligence (AI) is a practical introductory course that provides learners with an overview of Generative AI concepts, technologies, and real-world applications. Participants will gain an understanding of Artificial Intelligence (AI), Generative AI, and how these technologies are transforming the way individuals and organisations work, create, and communicate.
Through guided demonstrations and hands-on activities, participants will also learn how to effectively use popular Generative AI tools for productivity, content generation, communication, ideation, and business applications.
Who Should Attend
- Individuals wanting to apply and use Generative AI responsibly
- Individuals who want to tap into the power of Generative AI
- Individuals who have no prior experience in Generative AI
- Working professionals involved in digital transformation projects
Topics
- Introduction to Artificial Intelligence (AI) and Generative AI
- Modern Generative AI Models
- Use Cases and Applications of Generative AI (Multi-Modalities)
- Prompt Engineering
- Risks and Governance
Objectives
This introductory level course aims to help adult learners understand the fundamentals of Generative AI and how it is transforming the way people work, create, communicate, and solve problems. Participants will be introduced to different types of Generative AI tools and modalities, including text, image, audio, video, and conversational AI applications, as well as their practical use cases across industries.
Learning Outcomes
A. Knowledge and Understanding (Theory Component)
By the end of this course, participants should be able to:
- Understand the concept of Artificial Intelligence (AI), Generative AI and real-world application of Generative AI.
B. Key Skills (Practical Component)
By the end of this course, participants should be able to:
- Apply generative AI models and popular tools effectively.
Schedule
| Time | Agenda |
|---|---|
| 09:00 - 10:30 | Introduction to Artificial Intelligence (AI) and Generative AI Welcome and Course Overview
|
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | Modern Generative AI Models:
|
| 12:00 - 13:00 | Lunch |
| 13:00 - 15:00 | Use Cases and Applications of Generative AI (Multi-Modalities) |
| 15:00 - 15:15 | Break |
| 15:15 - 17:00 | Prompt Engineering and Risks & Governance
|
| 17:00 - 18:00 | Online Test |
*SUSS reserves the right to change the course dates, topics and trainers.
Assessments
- Online Test
Requirements
- This course is intended for adult learners with general digital literacy and an interest in generative artificial intelligence (Gen AI). No prior knowledge of AI is required.
- Participants must bring a Wi-Fi-enabled laptop
About the Trainer
Jim Wong
Jim Wong brings over 18 years of experience across financial services, technology, and digital transformation, working at the intersection of data, business, and people. His career spans roles in banking, insurance, consulting, and education, where he has led and advised initiatives in analytics-driven decision-making, technology-enabled transformation, and workforce upskilling.
Over the past decade, Jim has specialized in Data Analytics, Artificial Intelligence, and Digital Transformation, partnering with government agencies, financial institutions, and enterprises across Asia to translate complex technologies into practical business impact. His work focuses on enabling leaders and teams to harness data, automation, and AI to improve strategy execution, operational effectiveness, and customer outcomes—while ensuring innovation remains responsible and sustainable.
As an educator and trainer, Jim is committed to making complex concepts accessible and actionable. His teaching approach blends strong conceptual foundations with real-world case studies, hands-on exercises, and reflective discussions. Jim’s goal is to empower professionals with the confidence, mindset, and practical skills needed to lead and succeed in a data- and AI-driven world.Application Procedures
Please submit the following documents to [email protected]:
- Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S"
Pass for foreign applicant
- Application form
Course Fee
1 Mid-Career Enhanced Subsidy:
Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course
fees.
2 Enhanced Training Support
for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21
and above may enjoy subsidies up to 90% of the course fees.
- Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
- Participants are required to complete all surveys and feedbacks related to the course.
- The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
- Singapore University of Social Sciences reserves the right to amend
and/or revise the above schedule without prior notice.
For the various payment modes, please refer here.
Course Withdrawal and Refund
Request for withdrawal from a course must be submitted to SUSS Academy formally in writing.
- Course Withdrawal before Application Close Date: No charges.
- Course Withdrawal after course confirmation: 50% of the full course fee with an administration fee imposed.
- Course Withdrawal after the course commences: Full course fee applies.
For clarification, please contact the SUSS Academy via the following:
Telephone: +65 6248 0263
Email: [email protected]