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Course Outline

Module 1: Introduction to AI in Finance

  • Foundations of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Current AI Trends in Financial Services
  • Advantages and Obstacles in AI Adoption

Module 2: AI Applications in Banking and Financial Services

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

Module 3: Financial Data Analytics with AI

  • Data-Driven Decision-Making Strategies
  • Predictive Analytics and Forecasting Models
  • Analysis of Customer Behavior Patterns
  • Predicting Market Trends

Module 4: AI for Risk Management

  • Credit Risk Assessment Techniques
  • Market Risk Analysis Methods
  • Monitoring Operational Risks
  • Implementing AI-Based Early Warning Systems

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

  • Advanced Fraud Detection Strategies
  • Transaction Monitoring Frameworks
  • Utilizing Anomaly Detection Models
  • Applications in AML Compliance

Module 6: Generative AI for Finance

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

Module 7: AI Governance, Ethics and Compliance

  • Principles of Responsible AI
  • Regulatory Standards in Financial Services
  • AI Risk Management Frameworks
  • Data Privacy and Security Best Practices

Module 8: AI Strategy and Implementation

  • Creating a Strategic AI Roadmap
  • Building a Compelling Business Case
  • Change Management and User Adoption
  • Evaluating the Success of AI Projects

Module 9: Practical Workshops and Case Studies

  • Exploring Real-World Financial AI Applications
  • Scenario Analysis for Risk and Compliance
  • Demonstrations of AI Tools
  • Collaborative Group Discussions and Exercises

Requirements

Prospective participants should possess the following:

  • A foundational grasp of financial services, including banking, accounting, or investment concepts.
  • Working knowledge of business reporting and data analysis principles.
  • No previous experience in AI or programming is necessary for enrollment.
  • A keen interest in digital transformation and emerging technological trends in finance.
 35 Hours

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