Enhancing Banking & Finance with AI: Tools & Risk Management for Executives (Synchronous E-Learning
About This Course
Data are a key and critical competitive component of all businesses. Data-driven technologies such as Data Science (DL), Machine Learning (ML), and Artificial Intelligence (AI) help translate data into competitive advantages for many businesses and enterprises, including those in banking and finance. A good understanding of these technologies and their real-world business applications are now critical skills and knowledge of all business executives.
This course spans 3 days, with the first 2 days dedicated to building foundational knowledge of AI technology in financial services and the third day emphasizing practical skills.
Day 1: Understanding of Technology
• Overview of the AI industry, including trends and future directions.
• Exploration of AI use cases in financial services.
• Introduction to data science, machine learning, and artificial intelligence concepts.
• Detailed discussion on AI algorithms and specific use cases.
• Introduction to Supervised and Unsupervised Learning techniques.
• Overview of Reinforcement Learning and its applications.
Day 2: Understanding of Technology
• Overview of Deep Learning and Natural Language Processing.
• Introduction to Large Language Models, such as those used in chatbots and virtual assistants.
• Machine learning demo/practical session.
• Guest speaker session for industry insights.
• Additional segment on the application of AI in banking and finance.
• Quiz and assessment to evaluate participants' understanding.
Day 3: AI Risk Management
• Emerging AI-related cyber crime risks, including adversarial AI, deep fake fraud, phishing, synthetic identities, etc.
• AI Ethical Issues, including transparency and black box issues, AI biases, data privacy, societal implications of AI deployment, etc.
• Case Discussions involving ethical dilemmas and best practices.
• Overview of current and upcoming regulations related to AI.
• Understanding of and strategies, frameworks, and tools in managing AI Risks.
What You'll Learn
1) A foundation understanding of the data science, machine learning, and Artificial Intelligence (AI) technologies.
2) Knowledge about the way these technologies work and solve real world issues.
3) A broad understanding of their applications in banking, finance, and other commercial settings.
4) Identification of AI risks and ethical issues.
5) Strategies, frameworks, and tools to assess and mitigate risks in AI projects.
The course is specially designed for business executives and working adults without STEM (Science, Technology, Engineering, Mathematics) background or coding/programming language skills.
A large variety of use cases involving financial institutions, fintechs, and other businesses will be used to inspire the participants in adopting the technologies to drive innovation, productivity, and efficiency in their workplace.
Entry Requirements
General Diploma