Overview
This course covers what Generative AI is, how Generative AI impacts across industries through real-life applications. Prompt engineering is introduced covering various framework and techniques to help learners design effective prompts to generate text, images, music and videos through hands-on activities. The ethical and responsible usage of Generative AI is also covered. After the course, the learners will acquire actionable skills in using Generative AI tools and designing prompts for real-world tasks to expand capability and improve productivity.
Course Description & Learning Outcomes
In this programme, you will be able to learn/conduct:
• How Generative AI functions & its impact across industries with real-life applications.
• Generative AI tools for text, codes, & image/video generation.
• Prompt engineering with hands-on activities relevant to your work/life.
• Project contextualized for your work.
• Ethical & responsible usage of Generative AI.

Schedule
Date: 13 Mar 2025, Thursday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: Blk S, Level 2, S.229/S.230, Nanyang Polytechnic, 180 Ang Mo Kio Ave 8, 569830, 569830
Agenda
Day/Time | Agenda Activity/Description |
---|---|
1530 to 1700 | Assessment |
0900 to 1015 | Briefing Introduction to Generative AI Applications of Generative AI |
1015 to 1030 | Tea Break (included) |
1030 to 1200 | Ethics and Fair Use of Generative AI AI Text Generator Hands on Activity 1 (Text in Action) |
1200 to 1300 | Lunch (NOT include) |
1300 to 1515 | AI Image Generators Hands on Activity 2 (Image in Action) Hands on Activity 3 (Image in Action) AI Video Generator Hands on Activity 4 (Video in Action) AI Music Generator |
1515 to 1530 | Tea Break (included) |
Pricing
Course fees: Full course fee: S$280 (Exclude GST) Up to 90% SSG Funding and 50% UTAP Funding

Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Natural Language Processing (NLP) (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Christopher Thia, Senior Lecturer, NYP-Microsoft Center for Applied AI (C4AI), School of Engineering, Nanyang Polytechnic
Chris is a senior lecturer in C4AI and instructor for Generative AI Series. He has more than 15 year’s teaching experience in both PET & CET training. He has facilitated workshops on applying Large Language Models (LLM) for question and answering. Chris strives to make complex concepts accessible to others. One notable project under his guidance involved the application of large language models for information retrieval, showcasing a commitment to practical problem-solving. Christopher holds certifications in AWS Academy Cloud Foundations and NVIDIA Deep Learning, Msc from NUS and Bachelor of Engineering from NTU.