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Course Outline

Module 1: Introduction to AI in Finance

  • Core fundamentals of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Current AI trends in Financial Services
  • Benefits and challenges associated with AI adoption

Module 2: AI Applications in Banking and Financial Services

  • Intelligent Customer Service and Chatbot Solutions
  • Credit Scoring and Lending Optimization
  • Wealth Management and Robo-Advisory Services
  • Open Banking and FinTech Innovation

Module 3: Financial Data Analytics with AI

  • Data-Driven Decision-Making
  • Predictive Analytics and Forecasting
  • Analysis of Customer Behavior
  • Prediction of Market Trends

Module 4: AI for Risk Management

  • Assessment of Credit Risk
  • Market Risk Analysis
  • Monitoring Operational Risk
  • AI-Based Early Warning Systems

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

  • Techniques for Fraud Detection
  • Transaction Monitoring Systems
  • Anomaly Detection Models
  • Applications in AML Compliance

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI-Assisted Financial Reporting
  • Automated Report Generation
  • Prompt Engineering for Finance Professionals

Module 7: AI Governance, Ethics and Compliance

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

Module 8: AI Strategy and Implementation

  • Creating an AI Roadmap
  • Developing the Business Case
  • Change Management and Adoption Strategies
  • Evaluating AI Project Success

Module 9: Practical Workshops and Case Studies

  • Real-World Financial AI Use Cases
  • Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Discussions and Exercises

Requirements

Participants are expected to have:

  • A foundational knowledge of financial services, banking, accounting, or investment principles.
  • Basic familiarity with business reporting and data analysis.
  • No prior background in AI or programming is necessary.
  • A genuine interest in digital transformation and emerging technologies in the financial sector.
 35 Hours

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