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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
  • Emerging AI trends in Financial Services
  • Advantages and obstacles of adopting AI

Module 2: AI Applications in Banking and Financial Services

  • Smart customer support and chatbot solutions
  • Optimizing credit scoring and lending processes
  • Wealth management and robo-advisory platforms
  • Innovation through Open Banking and FinTech

Module 3: Financial Data Analytics with AI

  • Driving decisions with data
  • Predictive analytics and forecasting techniques
  • Analyzing customer behavior patterns
  • Forecasting market trends

Module 4: AI for Risk Management

  • Assessing 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 detecting fraud
  • Systems for transaction monitoring
  • Models for anomaly detection
  • Applications in AML compliance

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI-assisted financial reporting
  • Automating 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

  • Creating an AI roadmap
  • Building the business case
  • Managing change and driving adoption
  • Evaluating the success of AI projects

Module 9: Practical Workshops and Case Studies

  • Real-world use cases of Financial AI
  • Scenarios involving risk and compliance
  • Demonstrations of AI tools
  • Group discussions and practical exercises

Requirements

Participants are expected to have:

  • A foundational understanding of financial services, banking, accounting, or investment principles.
  • Experience with business reporting and data analysis practices.
  • No prior experience in AI or programming is necessary.
  • A keen interest in digital transformation and emerging technologies within the finance sector.
 35 Hours

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