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Course Outline

Module 1: Introduction to AI in Finance

  • Fundamentals of Artificial Intelligence
  • Machine Learning and Generative AI Overview
  • AI Trends in Financial Services
  • Benefits and Challenges of AI Adoption

Module 2: AI Applications in Banking and Financial Services

  • Intelligent Customer Service and Chatbots
  • 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
  • Customer Behavior Analysis
  • Market Trend Prediction

Module 4: AI for Risk Management

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

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

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

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

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

Module 8: AI Strategy and Implementation

  • Developing an AI Roadmap
  • Business Case Development
  • Change Management and Adoption
  • Measuring AI Project Success

Module 9: Practical Workshops and Case Studies

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

Requirements

Participants should have:

  • Basic understanding of financial services, banking, accounting, or investment concepts.
  • Familiarity with business reporting and data analysis.
  • No prior AI or programming experience is required.
  • Interest in digital transformation and emerging technologies in finance.
 35 Hours

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