Course Objectives
This module is designed to help Hong Kong financial professionals quickly master the core applications of artificial intelligence in financial forecasting and risk analysis — from foundational concepts to hands-on case studies — comprehensively enhancing their data analysis capabilities and decision-making efficiency.
Content
- Understand the basics of AI – Learn what artificial intelligence is, how it has developed over time, and why traditional methods of financial forecasting have limitations.
- Learn key AI techniques – Get familiar with machine learning, deep learning (like LSTM), and natural language processing (NLP), and see how they can be applied in finance.
- Build your own financial prediction model – Follow a complete hands-on process, including preparing data, selecting important features, building the model, testing it, and improving its performance.
- See AI's real business value through real-world cases – Explore examples such as credit risk assessment, stock price prediction, and cash flow analysis to understand how AI solves actual financial problems.
- Get to know useful tools and platforms – Learn about the Python programming ecosystem, AutoML platforms (which automate the machine learning process), and cloud services that make AI easier to use.
- Look at future trends and risks – Discover emerging technologies like generative AI, AI agents, and quantum computing, and understand the potential risks and regulatory challenges when applying AI.
- Create a personal AI learning plan – Map out your own learning path so you can continue to grow your AI skills and apply them more effectively in the future.
Enrollment
- Enrollment of virtual CPD programmes can only be made through VTC’s Continuing & Professional Education website (https://cpe.vtc.edu.hk/en). The programme fees must be paid online by Credit Card (Visa / Master). Only enrollment with completed information and payment will be processed.
- Applicants should upload* a copy of your Hong Kong Identity (HKID) Card / Passport / Travel Document, or valid visa / entry permit for study issued by the Immigration Department of the Hong Kong Special Administrative Region (HKSAR) during the enrollment process for identity verification purpose. The uploaded image should only show your full name in both English and Chinese with your photo. Other personal information must be covered.
* File size shall be less than4 MB. File format shall be in jpg, jpeg, pdf or png.
- All places are allocated on a first-come-first-served basis. Incomplete forms and forms received without payment will not be processed.
Notification of Class Commencement
Successful applicants will be notified of the class confirmation and relevant information by email at least 7 working days## before class commencement. Login information including Meeting ID and Passcode, and Student Login ID will be sent to students by email 3 working days## before class commencement. Please contact us at 2836 1892 if you do not receive the notification and/or login information 3 working days## before the class commencement.
## Working days (exclusive of Saturdays, Sundays and Public Holidays)
Applicants should ensure their digital devices be equipped with a video camera and connected to a stable network before enrolling the virtual CPD Programme.
Students are required to show themselves in front of the camera throughout the lesson, otherwise the CPD / CPT hours will be deducted.
Certificate
Students who have participated in PEAK’s CPD short courses via virtual classrooms and achieved an attendance rate of 80% or higher may download their certificates from PEAK’s website (www.peak.edu.hk) starting from the 6th working day upon completion of the respective courses. The certificates shall be downloaded within three months from the date of course completion.
Note: Only electronic form of Certificate (“e-Certificate”) will be provided for virtual CPD short courses that commence on or after 1 May 2026. For enquiries, please call 2836 1922.
