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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
  • Current AI Trends in Financial Services
  • Advantages and Hurdles of Adopting AI

Module 2: AI Applications in Banking and Financial Services

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

Module 3: Financial Data Analytics with AI

  • Data-Driven Decision-Making Strategies
  • Predictive Analytics and Future Forecasting
  • Analysis of Customer Behaviors
  • Predicting Market Trends

Module 4: AI for Risk Management

  • Assessing 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
  • Transaction Monitoring Frameworks
  • Anomaly Detection Models
  • Applications for 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
  • Frameworks for AI Risk Management
  • Considerations for Data Privacy and Security

Module 8: AI Strategy and Implementation

  • Formulating an AI Roadmap
  • Developing Business Cases
  • Change Management and Adoption Strategies
  • Evaluating the Success of AI Projects

Module 9: Practical Workshops and Case Studies

  • Real-World AI Use Cases in Finance
  • Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Discussions and Practical 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 background in AI or programming is necessary.
  • A keen interest in digital transformation and emerging technological trends in finance.
 35 Hours

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