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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 Financial Services
- Advantages and Hurdles of Adopting AI
Module 2: AI Applications in Banking and Financial Services
- Intelligent Customer Support and Chatbot Integration
- Optimizing Credit Scoring and Lending Processes
- Wealth Management and Robo-Advisory Solutions
- Open Banking and FinTech Innovations
Module 3: Financial Data Analytics with AI
- Enhancing Data-Driven Decisions
- Predictive Analytics and Future Forecasting
- Analyzing Customer Behavior Patterns
- Forecasting Market Trends
Module 4: AI for Risk Management
- Evaluating Credit Risk
- Analyzing Market Risk
- Monitoring Operational Risk
- Implementing AI-Based Early Warning Systems
Module 5: Fraud Detection and Anti-Money Laundering (AML)
- Advanced Fraud Detection Methodologies
- Transaction Monitoring Systems
- Utilizing Anomaly Detection Models
- Applying AI for AML Compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)
- AI-Assisted Financial Reporting
- Automation of Report Generation
- Prompt Engineering Techniques 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
- Formulating an AI Roadmap
- Developing Business Cases
- Managing Change and Driving Adoption
- Evaluating the Success of AI Projects
Module 9: Practical Workshops and Case Studies
- Real-World Financial AI Use Cases
- Scenarios in Risk and Compliance
- Demonstrations of AI Tools
- Group Discussions and Practical Exercises
Requirements
Participants are expected to possess:
- A foundational knowledge of financial services, banking, accounting, or investment principles.
- Familiarity with business reporting standards and data analysis practices.
- No prior experience in AI or programming is necessary.
- A keen interest in digital transformation and emerging technologies within the financial sector.
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
