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Duration 35 hours
Course Outline
Module 1: Introduction to AI in Finance
- Core Fundamentals of Artificial Intelligence
- Overview of Machine Learning and Generative AI
- Current 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
- Wealth Management and Robo-Advisory Services
- Open Banking and FinTech Innovation
Module 3: Financial Data Analytics with AI
- Facilitating Data-Driven Decision Making
- Predictive Analytics and Forecasting Techniques
- Analyzing Customer Behavior
- Predicting Market Trends
Module 4: AI for Risk Management
- Assessing 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 Fraud Detection
- Systems for Transaction Monitoring
- Models for Anomaly Detection
- Applications in AML Compliance
Module 6: Generative AI for Finance
- Large Language Models (LLMs)
- AI-Assisted Financial Reporting
- Automated Generation of Reports
- Prompt Engineering Tailored 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
- Creating an AI Roadmap
- Developing a Business Case
- Managing Change and Driving Adoption
- Evaluating the Success of AI Projects
Module 9: Practical Workshops and Case Studies
- Real-World Use Cases of Financial AI
- Risk and Compliance Scenarios
- Demonstrations of AI Tools
- Group Discussions and Hands-On Exercises
Requirements
Prospective participants are expected to have:
- A foundational grasp of financial services, banking, accounting, or investment principles.
- Experience with business reporting and data analysis.
- No prior experience in AI or programming is necessary for enrollment.
- A strong interest in digital transformation and emerging technologies within the financial industry.
Testimonials (1)
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