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 Duration 35 hours

Course Outline

Module 1: Introduction to AI in Finance

  • Core Concepts of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Current AI Trends in Financial Services
  • Advantages and Obstacles of AI Integration

Module 2: AI Applications in Banking and Financial Services

  • Smart Customer Service and Chatbot Solutions
  • Refining Credit Scoring and Lending Processes
  • Wealth Management and Robo-Advisory Platforms
  • Open Banking and FinTech Innovations

Module 3: Financial Data Analytics with AI

  • Decision-Making Based on Data Insights
  • Forecasting via Predictive Analytics
  • Analyzing Customer Behaviors
  • Anticipating Market Trends

Module 4: AI for Risk Management

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

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

  • Methods for Detecting Fraud
  • Systems for Transaction Monitoring
  • Models for Identifying Anomalies
  • Applications in AML Compliance

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI Support for Financial Reporting
  • Generating Automated Reports
  • Prompt Engineering for Finance Professionals

Module 7: AI Governance, Ethics and Compliance

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

Module 8: AI Strategy and Implementation

  • Creating an AI Roadmap
  • Formulating Business Cases
  • Managing Change and Adoption
  • Evaluating the Success of AI Projects

Module 9: Practical Workshops and Case Studies

  • Real-World AI Use Cases in Finance
  • Scenarios Involving Risk and Compliance
  • Demonstrations of AI Tools
  • Group 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 analytics.
  • No previous background in AI or programming is necessary.
  • A keen interest in digital transformation and emerging technologies within the financial sector.

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