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Duration 35 hours
Course Outline
Module 1: Introduction to AI in Finance
- Core concepts 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
- Optimizing credit scoring and lending processes
- Wealth management and robo-advisory services
- Open banking and FinTech innovations
Module 3: Financial Data Analytics with AI
- Making decisions based on data insights
- Predictive analytics and forecasting techniques
- Analysis of customer behavior
- 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 detecting fraud
- Systems for monitoring transactions
- Models for detecting anomalies
- Applications in AML compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)
- AI-assisted financial reporting
- Automating 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
- Change management and adoption strategies
- Evaluating the success of AI projects
Module 9: Practical Workshops and Case Studies
- Real-world examples of AI in finance
- Scenarios involving risk and compliance
- Demonstrations of AI tools
- Group discussions and hands-on exercises
Requirements
Participants are expected to:
- Have a foundational understanding of financial services, banking, accounting, or investment principles.
- Be familiar with business reporting and data analysis practices.
- Not require prior experience in AI or programming.
- Show an interest in digital transformation and emerging technologies within finance.
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
