AI-Powered Finance & Digital Growth Mastery Module 1: Introduction to AI-Driven Financial Forecasting and Risk Analysis

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

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.