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Course Outline
Introduction to Generative AI in Financial Services
- An overview of generative AI and its significance to financial services
- Case studies showcasing AI-driven solutions in risk assessment, fraud detection, and customer engagement
- Key advantages and challenges associated with adopting generative AI in the financial sector
Setting Up the Environment
- Introduction to OpenAI API and Google Cloud Platform
- Creating accounts and accessing AI tools
- Initial configurations and setup procedures
Developing AI Solutions for Risk Assessment
- Exploring the role of generative AI in risk assessment
- Constructing AI models for credit scoring and loan approval processes
- Evaluating risk factors and forecasting financial outcomes
Fraud Detection with Generative AI
- Challenges faced in fraud detection and prevention
- Leveraging generative AI for anomaly detection and pattern recognition
- Building AI models to identify fraudulent activities
Enhancing Customer Engagement through AI
- Personalization and customization in financial services
- Developing AI-powered chatbots for customer support and interaction
- Elevating customer experience through AI-driven recommendations and insights
Integrating Generative AI into Financial Systems
- API integration and data interoperability
- Deploying AI models in production environments
- Scaling AI solutions to manage large volumes of financial data
Evaluating AI Performance and Interpretability
- Metrics and benchmarks for evaluating AI performance
- Interpreting insights and recommendations generated by AI
- Ensuring transparency and accountability in AI decision-making processes
Ethical Considerations in AI Financial Services
- Ensuring fairness and preventing discrimination in AI models
- Addressing privacy concerns and data protection
- Complying with regulatory requirements and industry standards
Summary and Next Steps
Requirements
- Fundamental knowledge of financial concepts
- Familiarity with the basics of AI and machine learning (recommended, though not mandatory)
Target Audience
- Finance professionals
- Fintech developers
- AI specialists
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
