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 Duration 35 hours

Course Outline

Module 1: Introduction to AI in Finance

  • Core fundamentals of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Current AI trends in Financial Services
  • Advantages and hurdles of AI adoption

Module 2: AI Applications in Banking and Financial Services

  • Intelligent Customer Service and Chatbot solutions
  • Optimizing Credit Scoring and Lending
  • Robo-Advisory Services and Wealth Management
  • FinTech Innovation and Open Banking

Module 3: Financial Data Analytics with AI

  • Strategies for Data-Driven Decision Making
  • Forecasting and Predictive Analytics
  • Analyzing Customer Behavior
  • Predicting Market Trends

Module 4: AI for Risk Management

  • Assessing Credit Risk
  • Analyzing Market Risk
  • Monitoring Operational Risk
  • AI-Based Early Warning Systems

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

  • Techniques for Fraud Detection
  • Transaction Monitoring Systems
  • Anomaly Detection Models
  • Applications for AML Compliance

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI-Assisted Financial Reporting
  • Automated Generation of Reports
  • 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
  • Developing Business Cases
  • Change Management and Adoption Strategies
  • Measuring 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 have:

  • A foundational understanding of financial services, banking, accounting, or investment principles.
  • Proficiency in business reporting and data analysis.
  • No prior experience in AI or programming is necessary.
  • A strong interest in digital transformation and emerging technologies within the financial sector.

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