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.
Recommended Prerequisites
Nil
Pre-course instructions
Participants are required to bring and work using their own Windows laptop or MacBook, equipped with a minimum of 16GB RAM, to ensure an optimal learning experience.
Schedule
Date: 28 Aug 2025, Thursday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: Blk S, Level 2, S.230, Nanyang Polytechnic, 180 Ang Mo Kio Ave 8, 569830
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| 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 included) |
| 1300 to 1515 | AI Image Generators Hands on Activity 2 (Image in Action) Hands on Activity 3 (Image in Action) AI Video Generator |
| 1515 to 1530 | Tea Break (included) |
| 1530 to 1700 | Assignment |
Pricing
Course fees: Please refer to the registration link for information on course fees and available funding support
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:
Ms Zheng Xinhua, Senior Lecturer, NYP-Microsoft Center for Applied AI (C4AI), School of Engineering, Nanyang Polytechnic
Ms Zheng Xinhua holds M.Eng in Electrical and Computer Engineering and M.Tech in Enterprise Business Analytics. She is a senior lecturer and specialist with experience working on many data science and artificial intelligence related projects.
