Course Outline

Introduction to Multimodal AI for Finance

  • Overview of multimodal AI and its financial applications
  • Types of financial data: structured vs. unstructured
  • Challenges in financial AI adoption

Risk Analysis with Multimodal AI

  • Fundamentals of financial risk management
  • Using AI for predictive risk assessment
  • Case study: AI-driven credit scoring models

Fraud Detection Using AI

  • Common types of financial fraud
  • AI techniques for anomaly detection
  • Real-time fraud detection strategies

Natural Language Processing (NLP) for Financial Text Analysis

  • Extracting insights from financial reports and news
  • Sentiment analysis for market prediction
  • Using LLMs for regulatory compliance and auditing

Computer Vision in Finance

  • Detecting fraudulent documents with AI
  • Analyzing handwriting and signatures for authentication
  • Case study: AI-driven check verification

Behavioral Analysis for Fraud Detection

  • Tracking customer behavior with AI
  • Biometric authentication and fraud prevention
  • Analyzing transaction patterns for suspicious activities

Developing and Deploying AI Models for Finance

  • Data preprocessing and feature engineering
  • Training AI models for financial applications
  • Deploying AI-based fraud detection systems

Regulatory and Ethical Considerations

  • AI governance and compliance in financial institutions
  • Bias and fairness in financial AI models
  • Best practices for responsible AI use in finance

Future Trends in AI-Driven Finance

  • Advancements in AI for financial forecasting
  • Emerging AI techniques for fraud prevention
  • The role of AI in the future of banking and investments

Summary and Next Steps

Requirements

  • Basic knowledge of AI and machine learning concepts
  • Understanding of financial data and risk management
  • Experience with Python programming and data analysis

Audience

  • Finance professionals
  • Data analysts
  • Risk managers
  • AI engineers in the financial sector
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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