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Duration 35 hours
Course Outline
Module 1: Introduction to AI in Finance
- The foundations of Artificial Intelligence
- An overview of Machine Learning and Generative AI
- Current AI trends within financial services
- The advantages and obstacles of AI adoption
Module 2: AI Applications in Banking and Financial Services
- Advanced Customer Service and Chatbot implementation
- Optimizing Credit Scoring and Lending processes
- Wealth Management strategies and Robo-Advisory services
- Open Banking ecosystems and FinTech innovation
Module 3: Financial Data Analytics with AI
- Making decisions based on data insights
- Utilizing Predictive Analytics and Forecasting models
- 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)
- Advanced Fraud Detection Techniques
- Setting up Transaction Monitoring Systems
- Developing Anomaly Detection Models
- Applications for AML Compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)
- AI-Assisted Financial Reporting
- Automating Report Generation
- Prompt Engineering tailored for Finance Professionals
Module 7: AI Governance, Ethics and Compliance
- Principles of Responsible AI
- Regulatory Requirements specific to Financial Services
- Frameworks for AI Risk Management
- Considerations regarding Data Privacy and Security
Module 8: AI Strategy and Implementation
- Crafting an AI Roadmap
- Building a Business Case
- Managing Change and Facilitating Adoption
- Evaluating the Success of AI Projects
Module 9: Practical Workshops and Case Studies
- Examining Real-World Financial AI Use Cases
- Reviewing Risk and Compliance Scenarios
- Demonstrations of AI Tools
- Facilitating Group Discussions and Exercises
Requirements
To participate effectively, individuals should possess:
- A foundational grasp of financial services, banking operations, accounting principles, or investment concepts.
- Exposure to business reporting standards and data analysis techniques.
- No prior expertise in AI or programming is necessary.
- A genuine interest in digital transformation and the role of emerging technologies in the financial sector.
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
