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 Duration 35 hours

Course Outline

Module 1: Introduction to AI in Finance

  • Core Principles 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

  • Intelligent Customer Support and Chatbots
  • Optimizing Credit Scoring and Lending
  • Wealth Management and Robo-Advisory Platforms
  • Open Banking and FinTech Innovations

Module 3: Financial Data Analytics with AI

  • Decision-Making Driven by Data
  • Predictive Analytics and Financial Projections
  • Analyzing Customer Behavior
  • Forecasting Market Trends

Module 4: AI for Risk Management

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

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

  • Techniques for Identifying Fraud
  • Transaction Monitoring Infrastructure
  • Models for Detecting Anomalies
  • Applications in AML Compliance

Module 6: Generative AI for Finance

  • Large Language Models (LLMs)
  • AI-Enhanced Financial Reporting
  • Automated Generation of Reports
  • Prompt Engineering for Finance Specialists

Module 7: AI Governance, Ethics and Compliance

  • Principles of Responsible AI
  • Regulatory Standards 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 the Business Case
  • Change Management and User Adoption
  • Measuring the Success of AI Projects

Module 9: Practical Workshops and Case Studies

  • Real-World Financial AI Scenarios
  • Risk and Compliance Case Studies
  • Demonstrations of AI Tools
  • Group Discussions and Practical Exercises

Requirements

Candidates are expected to possess:

  • A foundational understanding of financial services, banking, accounting, or investment principles.
  • Experience with business reporting and data analysis.
  • No previous background in AI or coding is necessary.
  • A keen interest in digital transformation and emerging technologies within finance.

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