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
- Core Concepts of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Emerging AI Trends in Financial Services
- Advantages and Obstacles 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 Platforms
- Open Banking and FinTech Innovation Strategies
Module 3: Financial Data Analytics with AI
- Driving Decisions with Data
- Utilizing Predictive Analytics and Forecasting
- 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)
- Techniques for Detecting Fraud
- Managing Transaction Monitoring Systems
- Developing Anomaly Detection Models
- Applying AML Compliance Frameworks
Module 6: Generative AI for Finance
- Understanding Large Language Models (LLMs)
- Using AI to Assist Financial Reporting
- Automating Report Generation
- Prompt Engineering Techniques for Finance Professionals
Module 7: AI Governance, Ethics and Compliance
- Principles of Responsible AI
- Meeting Regulatory Requirements in Financial Services
- Establishing AI Risk Management Frameworks
- Addressing Data Privacy and Security Concerns
Module 8: AI Strategy and Implementation
- Creating a Comprehensive AI Roadmap
- Developing a Strong Business Case
- Managing Change and Facilitating Adoption
- Measuring the Success of AI Projects
Module 9: Practical Workshops and Case Studies
- Examining Real-World Financial AI Use Cases
- Analyzing Risk and Compliance Scenarios
- Demonstrating AI Tools in Action
- Engaging in Group Discussions and Exercises
Requirements
Participants are expected to have the following background:
- A foundational understanding of financial services, banking, accounting, or investment principles.
- Basic familiarity with business reporting and data analysis practices.
- No previous experience in AI or programming is necessary.
- A strong 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
