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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 Challenges of AI Integration
Module 2: AI Applications in Banking and Financial Services
- Enhanced Customer Service and Intelligent Chatbots
- Optimizing Credit Scoring and Lending Processes
- Advancements in Wealth Management and Robo-Advisory
- Open Banking and FinTech Innovation Strategies
Module 3: Financial Data Analytics with AI
- Making Decisions Driven by Data
- Utilizing Predictive Analytics and Forecasting
- Analyzing Customer Behavior Patterns
- Predicting Market Trends
Module 4: AI for Risk Management
- Evaluating Credit Risk
- Conducting Market Risk Analysis
- 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
- Building Anomaly Detection Models
- Applying AML Compliance Solutions
Module 6: Generative AI for Finance
- Understanding Large Language Models (LLMs)
- Using AI to Assist with Financial Reporting
- Generating Automated Reports
- Prompt Engineering Techniques for Finance Professionals
Module 7: AI Governance, Ethics and Compliance
- Principles of Responsible AI
- Meeting Regulatory Requirements in Financial Services
- Structuring AI Risk Management Frameworks
- Considering Data Privacy and Security
Module 8: AI Strategy and Implementation
- Creating an AI Roadmap
- Developing a Strong Business Case
- Managing Change and Ensuring Adoption
- Evaluating the Success of AI Projects
Module 9: Practical Workshops and Case Studies
- Examining Real-World Financial AI Scenarios
- Analyzing Risk and Compliance Situations
- Demonstrating AI Tools in Practice
- Engaging in Group Discussions and Exercises
Requirements
To succeed in this course, participants are expected to have:
- A foundational understanding of financial services, banking, accounting, or investment principles.
- Experience with business reporting and data analysis techniques.
- No prior background 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
