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Duration 35 hours
Course Outline
Module 1: Introduction to AI in Finance
- Core Foundations of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Current AI Trends in Financial Services
- Advantages and Obstacles of AI Adoption
Module 2: AI Applications in Banking and Financial Services
- Smart Customer Service and Chatbot Technologies
- Optimising Credit Scoring and Lending Processes
- Wealth Management and Robo-Advisory Solutions
- Open Banking and FinTech Innovations
Module 3: Financial Data Analytics with AI
- Strategic Data-Driven Decision Making
- Predictive Analytics and Forecasting Models
- Insights into Customer Behaviour Analysis
- Predicting Market Trends and Movements
Module 4: AI for Risk Management
- Assessing Credit Risk with AI
- Analysing Market Risk
- Monitoring Operational Risks
- Implementing AI-Based Early Warning Systems
Module 5: Fraud Detection and Anti-Money Laundering (AML)
- Advanced Fraud Detection Techniques
- Monitoring Financial Transactions
- Utilising Anomaly Detection Models
- Applying AML Compliance Strategies
Module 6: Generative AI for Finance
- Understanding Large Language Models (LLMs)
- Supporting Financial Reporting with AI
- Automating Report Generation
- Prompt Engineering Strategies for Finance Professionals
Module 7: AI Governance, Ethics and Compliance
- Principles of Responsible AI
- Navigating Regulatory Requirements in Financial Services
- Frameworks for Managing AI Risk
- Considerations for Data Privacy and Security
Module 8: AI Strategy and Implementation
- Formulating a Strategic AI Roadmap
- Developing Robust Business Cases
- Managing Change and Ensuring Adoption
- Measuring the Success of AI Projects
Module 9: Practical Workshops and Case Studies
- Examining Real-World Financial AI Use Cases
- Analysing Risk and Compliance Scenarios
- Demonstrations of Key AI Tools
- Facilitating Group Discussions and Practical Exercises
Requirements
Prospective participants are advised to possess:
- A foundational understanding of financial services, banking, accounting, or investment concepts.
- Exposure to business reporting and data analysis practices.
- Knowledge of the subject matter is sufficient; no prior experience in AI or programming is necessary.
- A keen interest in digital transformation and the role of emerging technologies in finance.
Testimonials (1)
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