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Duration 35 hours
Course Outline
Module 1: Introduction to AI in Finance
- Core principles of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Current AI trends in the financial services sector
- Advantages and obstacles associated with AI integration
Module 2: AI Applications in Banking and Financial Services
- Intelligent customer service solutions and chatbots
- Advanced credit scoring and lending process optimization
- Wealth management strategies and Robo-Advisory services
- Open banking frameworks and FinTech innovation
Module 3: Financial Data Analytics with AI
- Strategies for data-driven decision making
- Predictive analytics and future trend forecasting
- Analyzing customer behavior patterns
- Forecasting market trends
Module 4: AI for Risk Management
- Assessment of credit risk
- Analysis of market-related risks
- Monitoring operational risks
- Implementation of AI-based early warning systems
Module 5: Fraud Detection and Anti-Money Laundering (AML)
- Techniques for identifying fraud
- Systems for transaction monitoring
- Models for anomaly detection
- Applications for AML compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)/li>
- AI-supported financial reporting
- Automation of report generation
- Prompt engineering skills for finance professionals
Module 7: AI Governance, Ethics and Compliance
- Principles of responsible AI usage
- Regulatory obligations in financial services
- Frameworks for managing AI risks
- Considerations regarding data privacy and security
Module 8: AI Strategy and Implementation
- Creating a comprehensive AI roadmap
- Developing strong business cases
- Managing change and driving adoption
- Evaluating the success of AI initiatives
Module 9: Practical Workshops and Case Studies
- Real-world examples of financial AI applications
- Scenarios focusing on risk and compliance
- Demonstrations of AI tools
- Interactive group discussions and exercises
Requirements
Prospective participants are expected to have:
- A foundational knowledge of financial services, including banking, accounting, or investment principles.
- Competence in business reporting and data analysis techniques.
- No previous background in AI or programming is necessary.
- A genuine interest in digital transformation and the impact of emerging technologies on finance.
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
