Programme Highlights
Ready to dive into the world of AI? Join our practical, hands-on course!
Learn how to optimise AI performance, explore diverse applications, and train models effectively. Discover the limitless possibilities in business, no tech knowledge required.
Course Objectives
- Master Prompt Engineering strategies and structure for optimizing AI performance in the workplace
- Explore complex use cases of Prompt Engineering for different business applications
- Develop skills to train and fine-tune AI models using sophisticated prompt techniques
Course Fee
HK$1,500/ HK$1,350*
*Group discount for 2 participants or more
Date
12 Nov2024 (Tue)
Time
14:00 – 17:30
Duration
Total 3.5 lecture hours
Medium
Cantonese
(supplemented by English and with English handouts)
Target Audience
Anyone who wants to use AI/ Generative AI effectively. No tech knowledge required.
Certificate of Achievement
A Certificate of Attendance will be awarded to participants who have completed the course.
Course Structure
| 1. Introduction to AI in Business |
| A. Overview of AI technologies and their integration into various business sectors. B. Real-world examples of AI transforming workflows and decision-making processes. C. Discussion on AI ethics and privacy considerations in the workplace. |
| 2. Basics of Prompt Engineering |
| A. What is Prompt Engineering? Definition and scope. B. Understanding the importance of well-structured prompts for effective AI interaction. C. Types of prompts: Informative, evaluative, and generative. |
| 3. Hands-On Prompt Creation |
| A. Practical session: Writing prompts for common business tasks (e.g., email drafting, customer queries). B. Techniques for crafting clear, concise, and effective prompts. C. Testing and refining prompts: Feedback loops and iteration. |
| 4. Custom AI Solutions with Prompt Engineering |
| A. Tailoring prompts for specific business functions such as HR, Digital Marketing, Finance, Admin, and more. B. Workshop: Building a mini project where participants create a set of custom prompts for a chosen function. C. Sharing session: Presenting projects and peer review for practical feedback and refinement. |
Trainer
Ivan SO
Ivan is a seasoned trainer with 18 years of experience in digitalisation. He graduated from the University of Southampton with a Bachelor of Computer Science. Recently, he has successfully developed and delivered various Generative AI training programs for both public and corporate clients.