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Course Outline

Module 1: Intro to AI in Finance

  • Core concepts of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Current AI trends in the financial services industry
  • Advantages and hurdles of adopting AI

Module 2: AI Applications in Banking and Financial Services

  • Intelligent customer service and chatbot integration
  • Optimizing credit scoring and lending processes
  • Wealth management and robo-advisory solutions
  • Open banking and FinTech innovation

Module 3: AI-Driven Financial Data Analytics

  • Decision-making based on data insights
  • Predictive analytics and future forecasting
  • Analyzing customer behavior patterns
  • Predicting market trends

Module 4: AI in Risk Management

  • Evaluating credit risk
  • Analyzing market risk
  • Monitoring operational risks
  • Early warning systems powered by AI

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

  • Techniques for detecting fraud
  • Systems for transaction monitoring
  • Models for anomaly detection
  • Applications of AML compliance

Module 6: Generative AI in Finance

  • Large Language Models (LLMs)
  • AI support for financial reporting
  • Automating report creation
  • Prompt engineering skills for finance professionals

Module 7: AI Governance, Ethics, and Compliance

  • Principles of Responsible AI
  • Regulatory obligations in financial services
  • Frameworks for managing AI risk
  • Considerations for data privacy and security

Module 8: AI Strategy and Execution

  • Creating a strategic AI roadmap
  • Building a compelling business case
  • Managing change and fostering adoption
  • Evaluating the success of AI projects

Module 9: Hands-on Workshops and Case Studies

  • Real-world examples of Financial AI
  • Scenarios involving risk and compliance
  • Demonstrations of AI tools
  • Collaborative discussions and practical exercises

Requirements

Participants are expected to possess:

  • A foundational understanding of financial services, banking, accounting, or investment principles.
  • Experience with business reporting and data analysis.
  • No previous background in AI or programming is necessary.
  • A genuine interest in digital transformation and emerging technologies within the financial industry.
 35 Hours

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