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Course Outline

Module 1: Introduction to AI in Finance

  • Foundations of Artificial Intelligence
  • Overview of Machine Learning and Generative AI
  • Current AI Trends in Financial Services
  • Advantages and Challenges of Adopting AI

Module 2: AI Applications in Banking and Financial Services

  • Intelligent Customer Service and Chatbot Solutions
  • Optimising Credit Scoring and Lending Processes
  • Wealth Management and Robo-Advisory Services
  • Open Banking and FinTech Innovations

Module 3: Financial Data Analytics with AI

  • Data-Driven Decision-Making Strategies
  • Predictive Analytics and Forecasting Techniques
  • Analyzing Customer Behaviour Patterns
  • 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
  • Transaction Monitoring Systems
  • Anomaly Detection Models
  • Applications in AML Compliance

Module 6: Generative AI for Finance

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

Module 7: AI Governance, Ethics and Compliance

  • Principles of Responsible AI
  • Regulatory Requirements in Financial Services
  • AI Risk Management Frameworks
  • Considerations for Data Privacy and Security

Module 8: AI Strategy and Implementation

  • Creating an AI Roadmap
  • Developing Business Cases
  • Managing Change and Facilitating Adoption
  • Evaluating AI Project Success

Module 9: Practical Workshops and Case Studies

  • Real-World AI Use Cases in Finance
  • Risk and Compliance Scenarios
  • Demonstrations of AI Tools
  • Group Discussions and Practical Exercises

Requirements

Participants are expected to possess:

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

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 8000 € + VAT*

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