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Accounting & Finance Investment Management

Certificate for Module (Prompt Engineering for Finance and Business)
證書(單元 : 提示工程在金融及商業中的應用)

Course Code
FN128A
Application Code
2290-FN128A

Credit
6
Study mode
Part-time
Start Date
26 Jun 2025 (Thu)
Duration
30 hours
Language
English
Course Fee
HK$9000
Deadline on 23 Jun 2025 (Mon)
Enquiries
2867 8322
2861 0278
Apply Now

Highlights

This programme aims to equip students with the fundamentals of prompt engineering, enabling them to create tailored prompts for AI tools that automate enterprise operation, enhance data analysis, and provide actionable insights in a business and finance context. It covers the basics of generative AI, techniques for prompt engineering, no-code AI platform applications, use cases of prompt engineering and challenges of prompt engineering. Case studies on strategic decision making through prompt engineering in finance and business will be examined.
 

Programme Details

On completion of the programme, students should be able to

  1. explain the fundamentals of prompt engineering and how to interact effectively with AI tools;
  2. examine no-code AI platforms to build and deploy AI solutions;
  3. evaluate the transformative potential of AI in business and financial applications; and
  4. develop strategies for integrating AI solutions in business and financial decision-making processes.

 

Syllabus

1. Introduction to AI in finance and business
  • Overview of AI and its impact on business and finance
  • Role of AI in decision-making and process automation
  • Basics of algorithms in AI, machine learning and natural language processing
  • Fundamentals of deep learning and neural networks

 

2. Introduction to Prompt Engineering for Generative AI
  • Generative AI tools - Perplexity, Gemini, ChatGPT and MidJourney
  • Principles of generative AI prompt engineering
  • Practical techniques for prompt engineering

     i. Clear and specific prompts

     ii. Using system commands, constraints, and multi-step instructions

     iii. Prompts for data analysis and decision-making

     iv. Prompts for problem-solving and optimisation

     v. Prompts for effective communication and collaboration

  • Optimising AI for business and financial applications

     i. Implementing prompt engineering in finance and business

     ii. Creating multi-step workflows using generative AI

     iii. Extracting insights from financial data using prompts

  • Prompt engineering for collaboration with AI tools for brainstorming, strategy development, and project management

 

3. Introduction to No-Code AI
  • Low code development
  • Overview of no-code AI platforms - Bubble, Airtable, NoCoBase and Orange Data Mining
  • Non-technical users to utilise No-Code AI
  • Building Blocks of No-Code AI

     i. Data preparation and automation

     ii. AI model creation, deployment, and monitoring

     iii. Building dashboards

     iv. Automating workflows

     v. Predictive modeling

 

4. Key Applications of AI in Finance and Business
  • Use cases of prompt engineering and no-code AI in finance and business
  • Customer service using AI-powered chatbots
  • Financial analysis, fraud detection and risk analysis
  • Automating compliance and regulatory reporting
  • Business analysis and business innovation

 

5. Challenges
  • Concerns about data privacy and security
  • Regulatory and ethical considerations in prompt engineering
  • Ensuring transparency and explainability in AI models

 

Award

Upon successful completion of the programme, students who have passed the assessment with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a “Certificate for Module (Prompt Engineering for Finance and Business).”

Type of Assessment

Description

Weighting

Group Presentation

One in-class case study presented by groups of 3 to 5 students (about 15 minutes each)

50%

Coursework

One individual written assignment to apply prompt engineering techniques for finance and business applications (about 1,000 words)

50%

 

 

Total : 100%

Application Code 2290-FN128A Apply Online Now
Apply Online Now

Duration
  • The programme consists of ten sessions, each lasting three hours.
Venue

Class Details

Timetable

June 2025 Intake

Class  Date  Time 
26 Jun 2025 (Thu) 7:00 pm - 10:00 pm 
4 Jul 2025 (Fri)
11 Jul 2025 (Fri)
18 Jul 2025 (Fri)
25 Jul 2025 (Fri)
1 Aug 2025 (Fri)
8 Aug 2025 (Fri)
15 Aug 2025 (Fri)
22 Aug 2025 (Fri)
10  29 Aug 2025 (Fri)

** The above tentative timetable may be subject to change without prior notice. 

Teacher Information

Dr Jason Liao

Manager, FinTech Company

Background

Dr. Jiarui Liao (Jason) obtained his bachelor’s and master’s degrees from Tsinghua University and PhD from HKUST. He is a Qlik Sense Data Architect with certification. He has extensive experience and expertise in big data, business intelligence, machine learning, and FinTech innovation. He is proficient in BI data model/dashboard development, Python programming, SQL, etc. During his past work experience, both internal and external training took a rather large portion, and he elicited favorable comments from trainees.

Fee

Course Fee
  • Course Fee : HK$9000

Entry Requirements

Applicants shall hold a bachelor’s degree awarded by a recognised institution. If the degree or equivalent qualification is from an institution where the language of teaching and assessment is not English, applicants shall provide evidence of English proficiency, such as:

  1. an overall band of 6.0 or above with no subtests lower than 5.5 in the IELTS; or
  2. a score of 550 or above in the paper-based TOEFL, or a score of 213 or above in the computer-based TOEFL, or a score of 80 or above on the internet-based TOEFL; or
  3. HKALE Use of English at Grade E or above; or
  4. HKDSE Examination English Language at Level 3 or above; or
  5. equivalent qualifications.

 

Applicants with other qualifications will be considered on individual merit.

Apply

Online Application Apply Now

Application Form Application Form

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.