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Accounting & Finance Finance and Compliance

Certificate for Module (DeepSeek AI for Business and Financial Applications)
證書( 單元 : 深度求索人工智能在商業及金融中的應用)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN142A
Application Code
2380-FN142A

Credit
6
Study mode
Part-time
Start Date
29 Apr 2026 (Wed)
Duration
30 hours
Language
English
Deadline on 28 Feb 2026 (Sat)
Enquiries
2867 8392
2861 0278
Apply Now

Highlights

This programme aims to equip students with essential knowledge of DeepSeek Artificial Intelligence (AI) and its applications in business and finance. It covers the basics of Large Language Models (LLMs), generative AI, use cases of customer service automation and AI trading bots. Case studies on business intelligence and financial analytics will also be examined.
 

Programme Details

Intended Learning Outcomes

On completion of the programme, students should be able to

  1. explain the fundamentals of generative AI and Large Language Models (LLMs);
  2. demonstrate the applications of DeepSeek AI in business and finance;
  3. apply DeepSeek AI tools to perform business and financial analytics in different industries; and
  4. critically evaluate the performance of DeepSeek AI models in business and financial applications.
Application Code 2380-FN142A Apply Online Now
Apply Online Now

Modules

Syllabus

1. Fundamentals of Generative AI and Large Language Models (LLMs)

  • Fundamentals of Generative AI
  • Introduction to natural language processing
  • Fundamentals of neural networks
  • Overview of large reasoning models
  • Types of LLMs
  • Importance of LLMs in Generative AI

 

2. Introduction to DeepSeek AI

  • Overview of DeepSeek AI: capabilities and features
  • Impacts of DeepSeek AI on the global AI landscape
  • Benefits and challenges of open-source AI
  • Comparison among DeepSeek AI, ChatGPT, Gemini and Claude

 

3. Data Management with DeepSeek AI

  • Integration of business and financial data sources
  • Data cleaning, normalisation and transformation
  • Feature selection and extraction
  • Data visualisation tools
     

4. Building Deep Learning Models with DeepSeek AI

  • Model selection and tuning
  • Performance metrics for model evaluation
  • Testing and validating DeepSeek AI models

 

5. Financial Applications with DeepSeek AI

  • Overview of DeepSeek AI capabilities in finance
  • Basics of reinforcement learning in financial applications
  • Generating AI-assisted financial summaries
  • Using AI for financial analysis and reporting
  • Building financial forecasting models for market trend prediction
  • Leveraging AI for financial risk modelling
  • Automating regulatory compliance reports
  • Practical use cases in market sentiment prediction, AI trading bots, fraud detection and financial automation workflows

 

6. Business Applications with DeepSeek AI

  • Overview of DeepSeek AI capabilities in business and productivity
  • Identifying trends and patterns in business datasets
  • Generating AI-powered business reports and dashboards
  • Streamlining routine business process
  • Automating customer services
  • Using Application Programming Interfaces for business and financial automation workflows
  • Practical applications and case studies in different industries

 

7. Ethics, Challenges and Future Trends in AI Models

  • AI in the workplace: rights and responsibilities
  • Regulatory, data privacy, bias mitigation and ethical considerations in AI for business and finance
  • DeepSeek AI limitations
  • Challenges in implementing AI solutions
  • Future trends of AI models for business and finance
     
 

Award and Assessment

A "Certificate for Module (DeepSeek Artificial Intelligence for Business and Financial Applications)" will be awarded within the HKU system through HKU SPACE to students who have satisfied the following criteria:

  • Achieve at least 70% attendance of the programme; and
  • Pass all the assessments

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%

Individual Assignment

One individual written assignment to apply DeepSeek AI for finance and business applications (about 1,000 words)

50%

Class Details

Apr 2026 Intake

  Date Time
1 29 Apr 2026 (Wed)  7:00 p.m. - 10:00 p.m.
2 6 May 2026 (Wed)  7:00 p.m. - 10:00 p.m.
3 13 May 2026 (Wed)  7:00 p.m. - 10:00 p.m.
4 20 May 2026 (Wed)  7:00 p.m. - 10:00 p.m.
5 27 May 2026 (Wed)  7:00 p.m. - 10:00 p.m.
6 3 Jun 2026 (Wed)  7:00 p.m. - 10:00 p.m.
7 10 Jun 2026 (Wed)  7:00 p.m. - 10:00 p.m.
8 17 Jun 2026 (Wed)  7:00 p.m. - 10:00 p.m.
9 24 Jun 2026 (Wed)  7:00 p.m. - 10:00 p.m.
10 8 Jul 2026 (Wed)  7:00 p.m. - 10:00 p.m.

 

Teacher Information

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 tokenized 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, tokenization, 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 tokenization practices that positively influenced regulatory guidelines in Hong Kong. 

Fee

Course Fee
  • HK$9,000

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.

CEF

  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (DeepSeek Artificial Intelligence for Business and Financial Applications)
證書(單元:深度求索人工智能在商業及金融中的應用)
COURSE CODE 33C164736 FEES $9,000 ENQUIRY 2867-8392
Continuing Education Fund Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.

Certificate for Module (DeepSeek Artificial Intelligence for Business and Financial Applications)

  • This course is recognised under the Qualifications Framework (QF Level [5])

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.
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