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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 Obstacles of Adopting AI

Module 2: AI Applications in Banking and Financial Services

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

Module 3: Financial Data Analytics with AI

  • Facilitating Data-Driven Decision Making
  • Predictive Analytics and Forecasting Techniques
  • Analyzing Customer Behavior
  • Predicting 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 Fraud Detection
  • 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
  • Automated Generation of Reports
  • Prompt Engineering Tailored 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 a 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
  • Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Discussions and Hands-On Exercises

Requirements

Prospective participants are expected to have:

  • A foundational grasp of financial services, banking, accounting, or investment principles.
  • Experience with business reporting and data analysis.
  • No prior experience in AI or programming is necessary for enrollment.
  • A strong interest in digital transformation and emerging technologies within the financial industry.

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