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Course Outline

Module 1: Introduction to AI in Finance

  • Foundations of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Evolving AI Trends in Financial Services
  • Advantages and Hurdles of Adopting AI

Module 2: AI Applications in Banking and Financial Services

  • Intelligent Customer Support and Chatbot Solutions
  • Enhanced Credit Scoring and Lending Strategies
  • Wealth Management and Robo-Advisory Platforms
  • Open Banking and FinTech Innovations

Module 3: Financial Data Analytics with AI

  • Decision-Making Driven by Data Insights
  • Predictive Analytics and Future Trend Forecasting
  • Analyzing Customer Behavior Patterns
  • Forecasting Market Trends

Module 4: AI for Risk Management

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

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

  • Techniques for Identifying Fraud
  • Transaction Monitoring Frameworks
  • Anomaly Detection Modeling
  • Applying AML Compliance Tools

Module 6: Generative AI for Finance

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

Module 7: AI Governance, Ethics, and Compliance

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

Module 8: AI Strategy and Implementation

  • Formulating an AI Roadmap
  • Building a Strong Business Case
  • Managing Change and Driving Adoption
  • Evaluating the Success of AI Initiatives

Module 9: Practical Workshops and Case Studies

  • Examining Real-World Financial AI Applications
  • Exploring Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Discussions and Practical Exercises

Requirements

Candidates should possess:

  • A foundational grasp of financial services, banking, accounting, or investment principles.
  • Comfort with business reporting and data analysis workflows.
  • No background in AI or coding is necessary for participation.
  • A keen interest in digital transformation and emerging technological trends in finance.
 35 Hours

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