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
None
Pre-course instructions
None
Schedule
Date: 19 Sep 2024, 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
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| 0900 to 1000 | Introduction to Generative AI · Generative AI and its core concepts · Generative AI Applications |
| 1000 to 1015 | Tea Break |
| 1015 to 1200 | Introduction to Prompt Engineering Prompt Engineering for Text in Action! |
| 1200 to 1300 | Lunch |
| 1300 to 1415 | Prompt Engineering for Images, Audio & Video in Action! |
| 1415 to 1500 | Project Development |
| 1500 to 1515 | Tea Break |
| 1515 to 1600 | Foundation Models and Advanced Application in Generative AI |
| 1600 to 1630 | Ethics and Fair Use of Generative AI The Future of Generative AI & Discussion |
| 1630 to 1700 | Assessment |
Pricing
Course fees: Full course fee: S$280 (Exclude GST) Up to 90% SSG Funding and 50% UTAP Funding
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.
