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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
  • Current AI Trends in the Financial Sector
  • Advantages and Hurdles of Adopting AI

Module 2: AI in Banking and Financial Services

  • Smart Customer Support and Chatbots
  • Optimizing Credit Scoring and Lending
  • Wealth Management and Robo-Advisory Solutions
  • Open Banking and FinTech Advancements

Module 3: AI-Enhanced Financial Data Analytics

  • Facilitating Data-Driven Decisions
  • Predictive Analytics and Future Forecasting
  • Analyzing Customer Behavior
  • Forecasting Market Trends

Module 4: Risk Management Through AI

  • Evaluating Credit Risk
  • Analyzing Market Risk
  • Monitoring Operational Risks
  • AI-Driven Early Warning Mechanisms

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

  • Methods for Detecting Fraud
  • Transaction Monitoring Platforms
  • Models for Anomaly Detection
  • Applications for AML Compliance

Module 6: Generative AI in Finance

  • Large Language Models (LLMs)
  • AI Support for Financial Reporting
  • Automating Report Creation
  • Prompt Engineering for Finance Experts

Module 7: AI Governance, Ethics, and Compliance

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

Module 8: AI Strategy and Deployment

  • Creating an AI Roadmap
  • Building the Business Case
  • Managing Change and Adoption
  • Assessing the Success of AI Initiatives

Module 9: Hands-on Workshops and Case Studies

  • Real-World Financial AI Examples
  • Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Debates and Practical Exercises

Requirements

Prospective participants should possess:

  • A foundational knowledge of financial services, banking, accounting, or investment principles.
  • Basic familiarity with business reporting and data analytics.
  • No background in AI or programming is necessary.
  • A genuine interest in digital transformation and the role of emerging technologies in finance.
 35 Hours

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