Day 1: Foundations and Core Applications of AI in Finance

Session 1: Introduction to AI in Finance

• Overview of AI, ML, NLP & Generative AI
• Role of AI in transforming financial operations
• Benefits: Cost reduction, automation, accuracy
• Tool: Google AutoML / Azure AI Studio
• Case Study: AI-Driven Fraud Detection in Banking

Session 2: AI in Risk Management & Compliance

• AI for Credit Scoring & Fraud Detection
• AI in Regulatory Compliance & Auditing
• Risk mitigation and anomaly detection
• Tool: SAS Fraud Management, FICO AI
• Case Study: AI in Compliance Auditing & Real-time Checks

Session 3: AI for Investment and Portfolio Management

• Robo-advisors and AI-based wealth solutions
• Portfolio optimization and asset allocation
• Tool: Betterment, Wealthfront, Alpaca API
• Case Study: Robo-Advisors in Wealth Management

Day 2: Generative AI, Financial Forecasting & Analytics

Session 4: Generative AI in Finance

• GenAI for automated report writing
• Chatbots and client communication
• Investor relations automation
• Tool: OpenAI GPT APIs, Writer.com
• Case Study: Automating Investor Reports using GenAI

Session 5: Data Collection & Preparation in Finance

• Financial data sources and preparation techniques
• Data ethics: GDPR, CCPA compliance
• Building datasets for AI models
• Tool: Power BI, Trifacta, Talend
• Case Study: Data Management for AI Forecasting Models

Session 6: AI-Powered Financial Forecasting

• AI for market predictions and budgeting
• Sentiment analysis from social data
• Predictive analytics for financial planning
• Tool: IBM Watson, Python (scikit-learn, Prophet)
• Case Study: Market Sentiment Analysis using Social Media AI

Day 3: Security, Personal Finance & Strategic Outlook

Session 7: AI in Fraud Detection and Cybersecurity

• ML algorithms to detect anomalies
• Preventing cyber threats & identity theft
• Real-time fraud prevention
• Tool: Darktrace, Splunk AI, Feedzai
• Case Study: Machine Learning for Financial Security

Session 8: AI in Personal Finance & Wealth Management

• Personal finance apps and user profiling
• Goal tracking and financial planning
• Tool: Mint, Cleo, YNAB, ChatGPT API for budgeting
• Case Study: AI-Powered Personal Wealth Assistant

Session 9: Ethical, Legal & Future Considerations

• Bias mitigation, fairness in AI models
• Legal responsibilities of AI in decision-making
• The future landscape of FinTech & AI
• Tool: IBM AI Fairness 360, Google Model Cards
• Case Study: Fairness in Credit Scoring Models

Additional Course Details:

Date: 21 – 23 July

Price: MUR 50,000