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Course Outline
Module 1: Introduction to AI in Finance
- Fundamentals of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Emerging AI Trends in Financial Services
- Advantages and Obstacles of Adopting AI
Module 2: AI Applications in Banking and Financial Services
- Intelligent Customer Support and Chatbots
- Credit Scoring and Lending Optimization
- Wealth Management and Robo-Advisory Services
- Open Banking and FinTech Innovation
Module 3: Financial Data Analytics with AI
- Decision-Making Driven by Data
- Predictive Analytics and Forecasting
- Analysis of Customer Behavior
- Prediction of Market Trends
Module 4: AI for Risk Management
- Credit Risk Evaluation
- Market Risk Analysis
- Monitoring Operational Risks
- 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 for 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
- Frameworks for AI Risk Management
- Considerations for Data Privacy and Security
Module 8: AI Strategy and Implementation
- Creating an AI Roadmap
- Developing a Business Case
- Change Management and Adoption Strategies
- Evaluating AI Project Success
Module 9: Practical Workshops and Case Studies
- Real-World Financial AI Use Cases
- Risk and Compliance Scenarios
- Demonstrations of AI Tools
- Group Discussions and 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.
- No previous experience in AI or programming is necessary.
- A keen interest in digital transformation and emerging technologies within the finance sector.
35 Hours
Testimonials (1)
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