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Course Outline

Module 1: Introduction to AI in Finance

  • Core concepts of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Emerging AI trends in the financial services sector
  • Advantages and hurdles of AI adoption

Module 2: AI Applications in Banking and Financial Services

  • Intelligent customer service and chatbot solutions
  • Optimization of credit scoring and lending
  • Robo-advisory services and wealth management
  • Open Banking and FinTech innovation

Module 3: Financial Data Analytics with AI

  • Making data-driven decisions
  • Predictive analytics and forecasting
  • Analyzing customer behavior
  • Predicting market trends

Module 4: AI for Risk Management

  • Evaluating credit risk
  • Analyzing market risk
  • Monitoring operational risk
  • AI-driven early warning systems

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

  • Techniques for detecting fraud
  • Transaction monitoring systems
  • Anomaly detection models
  • Applications for AML compliance

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI-assisted financial reporting
  • Automated generation of reports
  • Prompt engineering tailored for finance professionals

Module 7: AI Governance, Ethics, and Compliance

  • Principles of Responsible AI
  • Regulatory requirements in financial services
  • Frameworks for AI risk management
  • Considerations for data privacy and security

Module 8: AI Strategy and Implementation

  • Creating an AI roadmap
  • Developing a business case
  • Managing change and adoption
  • Evaluating the success of AI projects

Module 9: Practical Workshops and Case Studies

  • Real-world financial AI use cases
  • Scenarios for risk and compliance
  • Demonstrations of AI tools
  • Group discussions and exercises

Requirements

Participants are expected to have:

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

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