登入成功 
Accounting & Finance FinTech and Financial Analytics
Certificate for Module (GenAI and Automation for Finance and Business)
證書(單元 : 生成式人工智能及金融與業務自動化)
CEF Reimbursable Course
- Course Code
- FN104A
- Application Code
- 2260-FN104A
- QF Level
-
Financial assistance
Close QF Level panel
Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.
- Credit
- 6
- Study mode
- Part-time
- Start Date
- 11 Dec 2024 (Wed)
- Next intake(s)
- Feb 2025
- Duration
- 30 hours
- Language
- English
- Course Fee
- Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
- Enquiries
-
2867 8331 / 2867 84242861 0278
Today and Upcoming Events
Accept New Applications for Dec 2024 intake! There are practical classes in the computer laboratory. Introduction to generative artificial intelligence (GenAI) and its applications for business and finance will be covered. Online automation software, such as text and image generation, will be illustrated, and artificial intelligence generated content will be shared. Issues of GenAI and automation will be discussed.
Programme Overview
Highlights
.jpg)
Programme Details
Intended Learning Outcomes (ILOs) of the Programme
On completion of the programme, students should be able to
- explain the principles of generative artificial intelligence (GenAI) and its technical usage;
- illustrate the applications of GenAI to generate content;
- apply computational tools and software of GenAI to perform process automation for business and finance; and
- discuss the issues of GenAI and automation.
| Application Code | 2260-FN104A | Apply Online Now |
| Apply Online Now | ||
Days / Time
- Mon, Wed, 7:00pm - 10:00pm
- 30 hours
- Hong Kong Island Learning Centre
- Kowloon East Campus
- Kowloon West Campus
Modules & Class Details
Modules
Syllabus
(1) Introduction to generative artificial intelligence (GenAI)
- Overview of artificial intelligence (AI) and big data development
- Machine learning (ML) and deep learning (DL)
- Computer vision
- Natural language processing (NLP) and large language model (LLM)
- Differences between analytical AI and generative AI (GenAI)
- Principles of technologies around generative pre-trained transformers (GPT) and artificial intelligence generated content (AIGC)
- Generative adversarial network (GAN) and Variational autoencoder (VAE)
- Transformer-based generative model and flow-based generative model
- GPT related tools: Open AI ChatGPT, Poe Chat, Sage, Claude, Microsoft Bing Chat, Google Bard
- Comparison of different generations of GPT
- Accuracy and limitations of GPT
- Business implications of GenAI and GPT
(2) Overview of GenAI and automation tools
- Data analytics with GenAI tools
- Mechanism of ChatGPT: language generation, language understanding, dialogue generation, knowledge retrieval
- Prompt and prompt engineering
- Automation concepts using computational tools and online software
- Overview of Microsoft Copilot
- Overview of ChatGPT plugin
- Overview of Chrome plugin
- Coding and programming with GenAI tools
- Online automation software by transforming structured data to unstructured data and vice versa
- Summarisation tools: YouTube Summary with ChatGPT, ChatPDF
- Presentation generation and processing tools: Tome.ai, beautiful.ai
- Text generation and processing tools: Smodin, Jasper.ai, Copy.ai, copysmith.ai, Notion AI, Friday Chat
- Meeting minutes recording tools: Supernormal, Tactiq
- Image generation and processing tools: Playground AI, Midjourney, Canva, DALL·E 2, Soulgen, Fotor, Stable Diffusion, Leonardo.ai, Meta AI
- Video generation and processing tools: Capcut, Fliki, Narakeet, Invideo, Pictory, unboring, Phenaki, Imagen Video
- Voice generation and processing tools: MuseScore, Flat, Noteflight, Lalai.ai, Assembly AI
- Other GenAI tools: Grammarly, Character.AI, Zapier, AIPRM for ChatGPT, Extrapolate.ai, BedtimeStory.ai, Hotoke.ai, Explainpaper, PrintIdea, RoomGPT
(3) Business and finance automated by GenAI
- Overview of process automation for business and finance
- Sentiment analysis for business
- Business communication and multi-language translation
- Financial analysis with GPT
- Questionnaire design and business survey
- Interview practice and business proposal design
- Regulatory technology (RegTech) and compliance with GenAI
- Customized learning and customized customer services for banking and finance
- Robo advisory for finance and investment
- Risk management by computer bot
- Financial news generation and promotional material drafting
(4) Issues of GenAI and automation
- Challenges and risks around GenAI and automation
- Plagiarism in business research and research writing
- Data privacy and training data in AI algorithms
- Legal and intellectual property around GenAI
- Ethical issues around artificial intelligence generated content (AIGC)
Assessment method: One In-Class Exercise + Group Project Presentation
Award
Upon successful completion of the programme, students who have passed the final examination with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a “Certificate for Module (Generative Artificial Intelligence and Automation for Finance and Business).”
Teacher
(1) Dr K.H. Cheung
King Hong is a fervent proponent of AI and ML technologies across various domains, specifically on Digital Transformation and Autonomous Data Modelling and Analytics. Possessing a strong personal network and extensive experience in consulting, King Hong has a deep understanding of integrating technology into business operations. His leadership is demonstrated in his previous consultation projects, where he led his team to research and design automated solutions for business operation workflows using cutting-edge AI and ML technologies in Computer Vision (CV) and Natural Language Processing (NLP).
During his tenure as a lecturer at two local universities in Hong Kong, King Hong enriched the learning experiences of his students using his domain knowledge, expertise, and industry experiences into a wide array of subjects. He guided master’s students in their application of Data Science techniques, including Artificial Intelligence, Machine Learning, and Data Analytics/Mining.
(2) Mr Keith Li
Keith Li is an industry veteran with 20+ years of experience in Mobile Apps, Web3, and Generative AI, is the Co-Founder and CEO of Innopage Limited. He successfully raised multiple rounds of funding from listed companies and family offices, leading innovative projects that garnered 30+ regional and international awards. Keith is a part-time lecturer at HKBU, PolyU SPEED, and CUSCS, specializing in Design Thinking, Web3, Generative AI, and Entrepreneurship. He holds a BSc in Computer Science from Kent University and an MSc in MEICOM from HKU. Currently, Keith serves as Chairman of the Hong Kong Wireless Technology Industry Association (WTIA).
(3) Mr Ken Liu
Mr. Liu, co-founder and CTO of Datatact Ltd, a startup focus on AI, Machine Learning and Big Data analytics. He is a hands on expert in his specialized area for over 10 years. Prior to Datatact, Ken worked at Citi, HSBC, Goldman Sachs, Deutsche Bank and Credit Suisse as Algo-Trading developer. Mr. Liu earned a Master in Computer Science from USC and a Bachelor in Computer Science from University of Warwick.
(4) Mr Thomas Lee
Mr Lee is a computer and project management professional who has worked in the information technology and data science industry for over 30 years under vendor environments including HP Inc., Dell, Fossil, Motorola network and GP Batteries. In the past ten years, Mr Lee focused on new product introduction, design for manufacturability, quality assurance & production risk management among manufacturing plants in China & Taiwan utilizing various data sciences tools and methodologies. Mr Lee is qualified as a Microsoft Certified Trainer in delivering Microsoft training modules based on Azure technology. He has been teaching courses related to Big Data, Cloud Computing, Machine Learning, Cyber Security and Fintech since 2020. Mr Lee is a certified Project Management Professional, PMP from Project Management Institute PMI, US from 1998 and a Certified Scrum Master since 2018. Mr Lee holds a Master of Health Science degree in Biomedical Engineering from University of Toronto, St. George Campus, Canada. He currently works on projects as an enabler for Inclusion and Accessibility utilizing the artificial intelligence technology.
(5) Mr Clive Yip
Mr. Yip is a practitioner in Data Analytics. He has 10 years of experience in both Big 4 consulting firms and multinational companies. He is currently working as a Senior Data Analytics Consultant in a leading insurance company, using Python, SQL and other Big Data technologies to analyse and monitor any non-compliance or fraudulent activities. He has a Master’s degree in Information Technology from HKUST and a Bachelor’s degree from the University of Southern California. Before entering the data analytics field, he worked as a financial auditor in Ernst and Young and is a Certified Public Accountant (CPA) in Hong Kong and Canada.
Class Details
Timetable
| Lecture | Date | Time |
| 1 | 11 Dec 24 (Wed) | 19:00-22:00 |
| 2 | 16 Dec 24 (Mon) | 19:00-22:00 |
| 3 | 18 Dec 24 (Wed) | 19:00-22:00 |
| 4 | 23 Dec 24 (Mon) | 19:00-22:00 |
| 5 | 6 Jan 25 (Mon) | 19:00-22:00 |
| 6 | 8 Jan 25 (Wed) | 19:00-22:00 |
| 7 | 13 Jan 25 (Mon) | 19:00-22:00 |
| 8 | 15 Jan 25 (Wed) | 19:00-22:00 |
| 9 |
20 Jan 25 (Mon) |
19:00-22:00 |
| 10 | 22 Jan 25 (Wed) | 19:00-22:00 |
Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.
Articulation Pathways
Progression Path
Fee & Entry Requirements
Fee
HK$150 (Non-refundable)
Course Fee- Course Fee: $9900 per programme (* course fees are subject to change without prior notice)
Entry Requirements
Applicants should hold an Advanced Diploma, a Higher Diploma or an Associate Degree awarded by a recognised institution. Those with a business, accounting, finance, economics, mathematics, statistics, science, engineering, IT or computer science background would have an advantage.
Applicants with other equivalent qualifications will be considered on individual merit.
CEF
- The CEF Institution Code of HKU SPACE is 100
| CEF Courses | ||
|---|---|---|
| CERTIFICATE FOR MODULE (GENERATIVE ARTIFICIAL INTELLIGENCE AND AUTOMATION FOR FINANCE AND BUSINESS) 證書 (單元：生成式人工智能及金融與業務自動化) |
||
| COURSE CODE 33C158647 | FEES $9,900 | ENQUIRY 2867-8331 |
|
Continuing Education Fund This course has been included in the list of reimbursable courses under the Continuing Education Fund. |
Certificate for Module (Generative Artificial Intelligence and Automation for Finance and Business)
|
Apply
Online Application Apply Now
Application Form Download Application Form
Enrolment MethodOnline Enrolment
HKU SPACE provides 24-hour online application and payment service for students to apply to selected award-bearing programmes and to enrol in most open admission courses (courses enrolled on a first come, first served basis) via the Internet. Applicants may settle the payment by using either "PPS by Internet" (not available via mobile phones), VISA or Mastercard online. Online WeChat Pay, Online AliPay and Faster Payment System (FPS) are also available for continuing enrolment in the same programme, if online service is offered.
For first time enrolment
-
Complete the online application form
Applicant may click the icon
on the top right-hand corner of the programme/course webpage to make online application, and then follow the instructions to fill in the online application form.
Some programmes/courses may admit by selection, and may require applicants to provide electronic copy of any required documents (e.g. proof of qualification) as indicated on the programme/course webpage. Only file format in doc, docx, jpg and pdf are supported. -
Make Online Payment
Pay the application or programme/course fees by either using:
"PPS by Internet" - You will need a PPS account and a PPS Internet password. For information on how to open a PPS account and how to set up a PPS Internet password, please visit http://www.ppshk.com.
*Credit Card Online Payment - Course fees can be paid by VISA or Mastercard including the “HKU SPACE Mastercard”.
* HKU SPACE Mastercard cardholders who wish to enjoy 10-month interest free instalment scheme must pay their tuition fees in person at any of our HKU SPACE Enrolment Centres.
To know more about first-time online application/enrolment and payment, please refer to the user guide of Online Application / Enrolment and Payment:
For continuing enrolment in the same programme
Selected programmes offer online continuing enrolment service. Programme staff will inform students if they offer this service and offer further enrolment details.
Online Payment can be made via "PPS by Internet" (not available via mobile phones), VISA or Mastercard, Online WeChat Pay, Online AliPay and Faster Payment System (FPS)
In Person / Mail
For first time enrolment
-
For first come, first served short courses, complete the Application for Enrolment Form SF26 and bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
[Download Enrolment Form SF26] -
Award-bearing and professional courses may require other information. Forms are usually available at the enrolment centres or on request from programme staff. Bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
For continuing enrolment in the same programme
-
The standard ‘Enrolment/Payment Slip’ is designed for students of award-bearing programmes or remaining programmes in a suite of programmes requiring continuing enrolment and it applies to most programmes.
-
Students should complete the “Enrolment/Payment Slip” which will be made available by relevant programme staff and return the slip to any HKU SPACE enrolment centre or post it to the relevant programme staff with appropriate fee payment.
Please refer to available Payment Methods for fee payment information. If you are in doubt about the procedures, please check the individual course details, or contact our programme staff or enrolment centres.
Please note the followings for programme/course enrollment:
- To make an application online, you will need a computer with connection to the Internet and a web browser with JavaScript enabled. Google Chrome is recommended.
- Applicants should not leave the online application idle for more than 10 minutes. Otherwise, applicants must restart the application process.
- Only Early Bird Discount is supported for Online Applicants (Application). To enjoy other types of discount, please visit one of our enrolment centres.
- During the online application process, asynchronous application and payment submission may occur. Successful payment may not guarantee successful application. In case of unsuccessful submission, our programme staff will contact you shortly.
- Applicants are reminded that they should only apply for the same programme/course once through counter or online application.
- For online enrolment, a payment confirmation page would be displayed after payment has been made successfully. In addition, a confirmation email would also be sent to your email account. You are advised to keep your payment confirmation for future enquiries.
- Fees paid are not refundable except as statutorily provided or under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment).
- If admission is by selection, the official receipt is not a guarantee that your application has been accepted. We will inform you of the result as soon as possible after the closing date for application. Unsuccessful applicants will be given a refund of programme/course fee if already paid.
Disclaimer
The School provides a platform for online services for a selected range of products it offers. While every effort is made to ensure timeliness and accuracy of information contained in this website, such information and materials are provided "as is" without express or implied warranty of any kind. In particular, no warranty or assurance regarding non-infringement, security, accuracy, fitness for a purpose or freedom from computer viruses is given in connection with such information and materials.
The School (and its respective employees and subsidiaries) is not liable for any loss or damage in connection with any online payments made by you by reason of (i) any failure, delay, interruption, suspension or restriction of the transmission of any information or message from any payment gateways of the relevant banks and/or third party merchants for processing credit/debit/smart card or other payment facilitation mechanism; (ii) any negligence, mistake, error in or omission from any information or message transmitted from the said payment gateways; (iii) any breakdown, malfunction or failure of those gateways in effecting online payment service or (iv) anything arisen out of or in connection with the said payment gateways, including but not limited to unauthorised access to or alternation of the transmission of data or any unlawful act not permitted by the law.
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.
- More Programmes of
- FinTech and Financial Analytics
- Relevant Programmes
- Certificate for Module (Sustainable Finance and Green FinTech) Certificate for Module (Generative AI, DeFi and Risk Governance) Certificate for Module (Web 3.0 and FinTech) Certificate for Module (Business Analytics and Web Scraping) Certificate for Module (Business Process Automation with VBA and Python)
