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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
  • Current AI trends in financial services
  • Advantages and hurdles of AI adoption

Module 2: AI Applications in Banking and Financial Services

  • Enhancing Customer Service through Intelligence and Chatbots
  • Optimizing Credit Scoring and Lending processes
  • Advancing Wealth Management and Robo-Advisory solutions
  • Innovation in Open Banking and FinTech

Module 3: Financial Data Analytics with AI

  • Facilitating Data-Driven Decision Making
  • Leveraging Predictive Analytics and Forecasting
  • Analyzing Customer Behavior patterns
  • Predicting Market Trends

Module 4: AI for Risk Management

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

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

  • Advanced Fraud Detection Techniques
  • Optimizing Transaction Monitoring Systems
  • Utilizing Anomaly Detection Models
  • Applications in AML Compliance

Module 6: Generative AI for Finance

  • Understanding Large Language Models (LLMs)
  • AI-Assisted Financial Reporting
  • Automating Report Generation
  • Applying Prompt Engineering for Finance Professionals

Module 7: AI Governance, Ethics and Compliance

  • Principles of Responsible AI
  • Meeting Regulatory Requirements in Financial Services
  • Establishing AI Risk Management Frameworks
  • Addressing Data Privacy and Security concerns

Module 8: AI Strategy and Implementation

  • Crafting an AI Roadmap
  • Developing a Compelling Business Case
  • Managing Change and Adoption
  • Measuring the Success of AI Projects

Module 9: Practical Workshops and Case Studies

  • Exploring Real-World Financial AI Use Cases
  • Analyzing Risk and Compliance Scenarios
  • Demonstrating AI Tools
  • Facilitating Group Discussions and Exercises

Requirements

Participants are expected to have:

  • A foundational grasp of financial services, banking, accounting, or investment principles.
  • Basic familiarity with business reporting and data analysis practices.
  • No prior background 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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