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Course Outline
Module 1: Introduction to AI in Finance
- Core fundamentals of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Current AI trends in financial services
- Advantages and challenges associated with adopting AI
Module 2: AI Applications in Banking and Financial Services
- Intelligent customer service solutions and chatbots
- Optimizing credit scoring and lending processes
- Wealth management strategies and Robo-Advisory services
- Open Banking and FinTech innovations
Module 3: Financial Data Analytics with AI
- Driving decisions through data analytics
- Predictive analytics and financial forecasting
- Analyzing customer behavior patterns
- Predicting market trends
Module 4: AI for Risk Management
- Evaluating 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 detecting fraud
- Transaction monitoring systems
- Models for anomaly detection
- Applications of AML compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)
- AI-assisted financial reporting
- Automated generation of reports
- Prompt engineering for finance professionals
Module 7: AI Governance, Ethics and Compliance
- Principles of Responsible AI
- Regulatory requirements in the financial sector
- Frameworks for AI risk management
- Considerations for data privacy and security
Module 8: AI Strategy and Implementation
- Formulating an AI roadmap
- Developing a robust business case
- Managing change and ensuring adoption
- Metrics for measuring AI project success
Module 9: Practical Workshops and Case Studies
- Real-world AI use cases in finance
- Scenarios involving risk and compliance
- Demonstrations of AI tools
- Group discussions and practical exercises
Requirements
Participants are expected to have:
- A foundational understanding of financial services, banking, accounting, or investment principles.
- Experience with business reporting and data analysis practices.
- No prior experience in AI or programming is necessary.
- A genuine interest in digital transformation and emerging technologies within finance.
35 Hours
Testimonials (1)
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