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Course Outline

Module 1: Foundations of AI in Finance

  • Core Concepts of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Emerging AI Trends in the Financial Sector
  • Advantages and Obstacles of AI Integration

Module 2: Deploying AI in Banking and Financial Services

  • Smart Customer Support and Conversational AI
  • Advanced Credit Scoring and Lending Strategies
  • Digital Wealth Management and Robo-Advisors
  • Open Banking Platforms and FinTech Innovations

Module 3: AI-Enhanced Financial Data Analytics

  • Data-Driven Decision-Making Processes
  • Predictive Modeling and Financial Forecasting
  • Analysis of Customer Behavior Patterns
  • Forecasting Market Trends

Module 4: Leveraging AI for Risk Control

  • Assessment of Credit Risk
  • Analysis of Market Risk
  • Monitoring Operational Risks
  • Implementation of AI-Powered Early Warning Mechanisms

Module 5: Fraud Prevention and Anti-Money Laundering (AML)

  • Techniques for Identifying Fraud
  • Systems for Monitoring Transactions
  • Models for Detecting Anomalies
  • Applications in AML Compliance

Module 6: The Role of Generative AI in Finance

  • Understanding Large Language Models (LLMs)
  • AI Support for Financial Reporting
  • Automation of Report Creation
  • Prompt Engineering Skills for Finance Professionals

Module 7: AI Governance, Ethical Standards, and Compliance

  • Principles of Responsible AI
  • Regulatory Mandates in Financial Services
  • Frameworks for Managing AI Risk
  • Considerations for Data Privacy and Security

Module 8: Strategic AI Planning and Execution

  • Formulating an AI Roadmap
  • Building a Strong Business Case
  • Managing Change and Ensuring Adoption
  • Evaluating the Success of AI Initiatives

Module 9: Hands-On Workshops and Case Analyses

  • Practical Examples of Financial AI Applications
  • Scenarios Involving Risk and Compliance
  • Demonstrations of AI Tools
  • Collaborative Discussions and Practical Exercises

Requirements

Candidates are expected to have:

  • A foundational grasp of financial services, banking, accounting, or investment principles.
  • Experience with business reporting and data analysis practices.
  • No prior background in AI or programming is necessary.
  • A keen interest in digital transformation and new technologies shaping the finance industry.
 35 Hours

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