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 Duration 35 hours

Course Outline

Module 1: Introduction to AI in Finance

  • Core Foundations of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Evolving AI Trends in the Financial Sector
  • Advantages and Obstacles of Integrating AI

Module 2: AI Applications in Banking and Financial Services

  • Smart Customer Service and Conversational Chatbots
  • Advanced Credit Scoring and Lending Strategies
  • Wealth Management and Robo-Advisory Solutions
  • Open Banking and FinTech Innovations

Module 3: Financial Data Analytics with AI

  • Strategies for Data-Driven Decision Making
  • Predictive Analytics and Future Forecasting
  • Analyzing Customer Behavior Patterns
  • Forecasting Market Trends

Module 4: AI for Risk Management

  • Evaluating Credit Risk
  • Analyzing Market Risk
  • Monitoring Operational Risks
  • AI-Driven Early Warning Systems

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

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

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI-Supported Financial Reporting
  • Automation of Report Generation
  • Prompt Engineering for Finance Professionals

Module 7: AI Governance, Ethics and Compliance

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

Module 8: AI Strategy and Implementation

  • Creating an AI Roadmap
  • Building a Strong Business Case
  • Managing Change and Ensuring Adoption
  • Assessing the Success of AI Projects

Module 9: Practical Workshops and Case Studies

  • Real-World Financial AI Applications
  • Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Discussions and Hands-On Exercises

Requirements

Participants are expected to:

  • Have a foundational understanding of financial services, banking, accounting, or investment concepts.
  • Be familiar with business reporting and data analysis.
  • Not require any prior experience in AI or programming.
  • Show an interest in digital transformation and emerging technologies within the finance sector.

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