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Course Outline

Module 1: AI Foundations in Finance

  • Core concepts of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Evolving AI trends in financial services
  • Advantages and obstacles associated with AI integration

Module 2: AI in Banking and Financial Services

  • Smart customer service and conversational AI
  • Optimizing credit scoring and lending processes
  • Advancements in wealth management and robo-advisory services
  • Innovation in Open Banking and FinTech

Module 3: AI-Driven Financial Data Analytics

  • Strategies for data-informed decision-making
  • Techniques in predictive analytics and forecasting
  • Insights into customer behavior
  • Forecasting market trends

Module 4: AI in Risk Management

  • Evaluating credit risk
  • Analyzing market risks
  • Monitoring operational risks
  • Implementing AI-based early warning mechanisms

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

  • Methods for detecting fraud
  • Monitoring financial transactions
  • Utilizing anomaly detection models
  • Applying AI for AML compliance

Module 6: Generative AI in Finance

  • Exploration of Large Language Models (LLMs)
  • AI support for financial reporting
  • Automation of report generation
  • Prompt engineering tailored for finance professionals

Module 7: AI Governance, Ethics, and Compliance

  • Principles of Responsible AI
  • Regulatory standards in financial services
  • Frameworks for managing AI risks
  • Addressing data privacy and security concerns

Module 8: AI Strategy and Deployment

  • Crafting an AI implementation roadmap
  • Building the business case for AI
  • Managing change and fostering adoption
  • Evaluating the success of AI initiatives

Module 9: Hands-On Workshops and Case Studies

  • Analyzing real-world AI applications in finance
  • Examining risk and compliance scenarios
  • Demonstrations of AI tools
  • Collaborative discussions and practical exercises

Requirements

Candidates are expected to have:

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

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