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Accounting & Finance Finance and Compliance

Certificate for Module (Vibe Coding and Generative AI for Finance and Business Applications)
證書(單元 : Vibe編程及生成式人工智能於金融和商業的應用)

Course Code
FN159A
Application Code
2375-FN159A

Credit
6
Study mode
Part-time
Start Date
27 Mar 2026 (Fri)
Duration
30 hours
Language
English
Course Fee
HK$9000 per programme
Deadline on 31 Jan 2026 (Sat)
Enquiries
28678312
28610278
Apply Now

Highlights

This programme aims to equip students with essential knowledge of vibe coding using Generative AI and its applications in business and finance. It covers the fundamentals of vibe coding and Generative AI, no-code AI platform applications and vibe coding in web applications. The benefits, challenges, risks and ethical considerations associated with vibe coding will be examined through real-world case studies and live demonstrations.

 

On completion of the programme, students should be able to
  1. explain the fundamentals of vibe coding and demonstrate effective interaction with various AI-assisted coding platforms;
  2. explore the use of vibe coding with Generative AI to build and deploy automation and data analysis;
  3. apply vibe coding with Generative AI tools to develop web applications for business and finance; and
  4. critically evaluate the performance of vibe coding and Generative AI in business and financial context.

Programme Details

The total number of contact hours is 30 for the entire programme.

 

  • Basics of large language models (LLMs)
  • Artificial intelligence (AI) assisted coding platforms – Replit, Lovable and Bolt
  • Context windows, assistants and AI agents
  • Features of prompt engineering and Generative AI
  • Fundamentals of Python programming
  • Python libraries for Generative AI
  • Integration of Python files
  • Overview of no-code and low-code development and AI platforms
  • Non-technical users to utilise No-Code AI
  • Building blocks of No-Code AI
  • Document automation with Generative AI
  • Integration with business workflow
  • Code refinement
  • Using vibe coding to build interactive data dashboards
  • Developing web applications with vibe coding and Generative AI
  • Generating graphical user interface (GUI) applications
  • Using vibe coding to identify trends and patterns in business datasets
  • Generating Generative AI-powered business reports and dashboards
  • Using Application Programming Interfaces (APIs) for business automation workflows and customer services
  • Using vibe coding for financial data analysis and reporting
  • Building financial models for market trend prediction
  • Practical use cases in finance
  • Ethical consideration, data privacy and security
  • Limitations of vibe coding in business and financial decision-making

 

Assessment method

In-class exercise and group project presentation.

 

Award

Upon successful completion of the programme, students who have passed the assessment with attendance no less than 70% will be awarded the “Certificate for Module (Vibe Coding and Generative Artificial Intelligence for Finance and Business Applications)”. For those students who cannot pass the assessments but have completed at least 70% of attendance, only a statement of attendance will be issued to students.

Application Code 2375-FN159A Apply Online Now
Apply Online Now

Class Details

Mar 2026 Intake - Tentative timetable

Session Date Time
1 27 Mar 2026 (Fri) 7:00 pm - 10:00 pm
2 10 Apr 2026 (Fri) 7:00 pm - 10:00 pm
3 17 Apr 2026 (Fri) 7:00 pm - 10:00 pm
4 24 Apr 2026 (Fri) 7:00 pm - 10:00 pm
5 8 May 2026 (Fri) 7:00 pm - 10:00 pm
6 15 May 2026 (Fri) 7:00 pm - 10:00 pm
7 22 May 2026 (Fri) 7:00 pm - 10:00 pm
8 29 May 2026 (Fri) 7:00 pm - 10:00 pm
9 5 Jun 2026 (Fri) 7:00 pm - 10:00 pm
10 12 Jun 2026 (Fri) 7:00 pm - 10:00 pm
Venue: HKU SPACE Po Leung Kuk Stanley Ho Community College (HPSHCC) Campus (at Causeway Bay) or other locations in Hong Kong Island. The above tentative timetable may be subject to change without prior notice.

Teacher Information

Ms Winnie Leung

Vibe Coding & AI Specialist

Background

Winnie is a serial tech entrepreneur with over 10 years of experience in technology, specializing in AI, machine learning, and data science. As Founder and CEO of multiple AI-driven ventures, she has led transformative projects in natural language processing, predictive analytics, and scalable AI systems for global enterprises. Previously, Winnie spearheaded AI initiatives at financial institutions, optimizing algorithms for real-time decision-making and AI solutions deployment. Holding a Master’s in Business Administration from the University of Hong Kong, she is a dedicated speaker and mentor in various universities in Hong Kong.

Mr Thomas Ng

CEO of Wealth Management Cube

Background

Thomas Ng is an accomplished expert in wealth management and fintech, currently serving as the CEO of Wealth Management Cube Limited in Hong Kong. He led the company to be the first well-established B2B fund distributor in Hong Kong, steering the tokenised fund business. With over 15 years of experience in the financial services sector, Thomas has held leadership roles in prominent firms, including being the hedge fund and fund of funds manager in Everbright Securities International and Wellchamp Capital. His extensive expertise encompasses fund management, tokenisation, and asset allocation strategies, enabling him to drive innovative solutions for clients across the Asia-Pacific region. Thomas has managed multi-million dollar portfolios for family offices and institutional clients, advocating for tokenisation practices that positively influenced regulatory guidelines in Hong Kong.

Fee

Course Fee
  • Course Fee : HK$9000 per programme

Entry Requirements

Applicants shall hold an Advanced Diploma, a Higher Diploma or an Associate Degree awarded by a recognised institution where the language of teaching and assessment is English. Those with a background in business, accounting, finance, economics, mathematics, statistics, science, engineering, IT or computer science would have an advantage.

Applicants with other qualifications will be considered on individual merit.

Apply

Online Application Apply Now

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Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and applicant’s name. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying “Course Application” on the envelope. HKU SPACE will not be responsible for any loss of personal information and payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, new and continuing students of award-bearing programmes with available online service, they may also pay their course fees by Online WeChat Pay, Online Alipay or Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.

Notes

  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolment Centres and avoid making cheque payment under this circumstance.

  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque, FPS or PPS by Internet will be reimbursed by a cheque, and fees paid by credit card will be reimbursed to the credit card account used for payment. 

  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • HKU SPACE will not be responsible for any loss of payment, receipt, or personal information sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to “HKU SPACE” to any of our enrolment centres.
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