Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 35 hours
Course Outline
Module 1: Introduction to AI in Finance
- Fundamentals of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Evolving AI Trends in Financial Services
- Advantages and Challenges of Adopting AI
Module 2: AI Applications in Banking and Financial Services
- Intelligent Customer Service and Chatbots
- Credit Scoring and Lending Optimisation
- Wealth Management and Robo-Advisory Services
- Open Banking and FinTech Innovation
Module 3: Financial Data Analytics with AI
- Decision-Making Driven by Data
- Predictive Analytics and Forecasting
- Analysis of Customer Behaviour
- Predicting Market Trends
Module 4: AI for Risk Management
- Assessing Credit Risk
- Analyzing Market Risk
- Monitoring Operational Risk
- AI-Based Early Warning Systems
Module 5: Fraud Detection and Anti-Money Laundering (AML)
- Techniques for Fraud Detection
- Transaction Monitoring Systems
- Anomaly Detection Models
- Applications in AML Compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)
- AI-Assisted Financial Reporting
- Automated 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
- Data Privacy and Security Considerations
Module 8: AI Strategy and Implementation
- Creating an AI Roadmap
- Developing Business Cases
- Change Management and Adoption
- Evaluating AI Project Success
Module 9: Practical Workshops and Case Studies
- Real-World Financial AI Use Cases
- Risk and Compliance Scenarios
- AI Tool Demonstrations
- Group Discussions and Exercises
Requirements
Participants are expected to have:
- A foundational understanding of financial services, banking, accounting, or investment principles.
- Experience with business reporting and data analysis.
- No prior experience in AI or programming is necessary.
- A keen interest in digital transformation and emerging technologies within the finance sector.
Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
