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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 Financial Services
  • Advantages and Obstacles in Adopting AI

Module 2: AI Applications in Banking and Financial Services

  • Intelligent Customer Service and Chatbot Integration
  • Optimizing Credit Scoring and Lending Processes
  • Enhancing Wealth Management via Robo-Advisory
  • Open Banking and FinTech Innovations

Module 3: AI-Driven Financial Data Analytics

  • Facilitating Data-Driven Decision Making
  • Implementing Predictive Analytics and Forecasting
  • Analyzing Customer Behavior Patterns
  • Predicting Market Trends

Module 4: AI in Risk Management

  • Assessing Credit Risk
  • Analyzing Market Risk
  • Monitoring Operational Risk
  • Implementing AI-Based Early Warning Systems

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

  • Advanced Fraud Detection Techniques
  • Transaction Monitoring System Enhancements
  • Utilizing Anomaly Detection Models
  • Practical AML Compliance Applications

Module 6: Generative AI in Finance

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

Module 7: AI Governance, Ethics, and Compliance

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

Module 8: AI Strategy and Implementation

  • Constructing a Comprehensive AI Roadmap
  • Developing Compelling Business Cases
  • Managing Change and Facilitating Adoption
  • Evaluating the Success of AI Initiatives

Module 9: Practical Workshops and Case Studies

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

Requirements

Participants are expected to possess:

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

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