AI+ Finance Agent™ - eLearning (exam included)

Course timeline

1. Introduction to AI Agents in Finance

   Lesson 1

   • Understanding AI Agents vs. Traditional Financial Automation
   • Evolution of AI Agents in Financial Services
   • Overview of Different Types of AI Agents in Finance
   • Importance of Agent Autonomy and Task Delegation
   • Key Differences Between AI Agents and Traditional Automation
   • Hands-On Activity: Exploring AI Agents in Finance

2. Building and Understanding AI Agents in Finance

   Lesson 2

   • Architecture of AI Agents in Finance
   • Tools and Libraries for Agent Development
   • Comparing AI Agents to Static Models
   • Overview of the Agent Lifecycle
   • Use Case: Customer Support Agents Handling KYC, FAQs, and Transaction Disputes
   • Case Study: Bank of America’s Erica – Managing Over 1 Billion Interactions with Predictive AI
   • Hands-On Activity: Building AI Agents in Finance

3. Intelligent Agents for Fraud Detection and Anomaly Monitoring

   Lesson 3

   • Using Supervised and Unsupervised ML for Fraud Detection
   • Pattern Analysis and Behavioral Profiling
   • Real-Time Monitoring Agents
   • Use Case: AI Agents Flagging Anomalies in Digital Wallet Transactions
   • Case Study: PayPal’s Graph-Based AI Detecting Fraud with 99.9% Accuracy
   • Hands-On Activity: Fraud Detection and Anomaly Monitoring

4. AI Agents for Credit Scoring and Lending Automation

   Lesson 4

   • Feature Generation from Non-Traditional Credit Data
   • Explainable AI (XAI) in Credit Decisions
   • Bias Mitigation in Lending Agents
   • Use Case: Assessing New-to-Credit Individuals with Transaction and Mobile Data
   • Case Study: Upstart’s AI Lending Platform – Increased Approvals by 27% and Lowered APRs by 16%
   • Hands-On Activity: AI for Credit Scoring and Lending

5. AI Agents for Wealth Management and Robo-Advisory

   Lesson 5

   • Personalization with Profiling Agents
   • Portfolio Rebalancing Algorithms
   • Sentiment-Aware Investing
   • Use Case: AI Adjusting Portfolios Weekly Based on Goals and Market Trends
   • Case Study: Wealthfront’s Path Agent – Personalized Savings and Investment Recommendations
   • Hands-On Activity: Wealth Management and Robo-Advisory Agents

6. Trading Bots and Market-Monitoring Agents

   Lesson 6

   • Reinforcement Learning in Trading Agents
   • Predictive Modeling with Historical Data
   • Risk-Reward Threshold Management
   • Use Case: AI Trading Agents Performing Arbitrage in Crypto Markets
   • Case Study: Renaissance Technologies – Automated Short-Hold Trades Generating Consistent Alpha
   • Hands-On Activity: Trading Bots and Market Monitoring

7. NLP Agents for Financial Document Intelligence

   Lesson 7

   • Large Language Models in Earnings Call and Filings Analysis
   • AI Summarization and Event Detection
   • Voice-to-Text and Key-Point Extraction
   • Real-World Applications
   • Case Study: BloombergGPT – Financial-Grade Large Language Model
   • Hands-On Activity: NLP for Financial Document Intelligence

8. Compliance and Risk Surveillance Agents

   Lesson 8

   • AI for AML and KYB Compliance
   • Regulation-Aware Rule Modeling
   • Transaction Graph Analysis
   • Use Case: Real-Time Monitoring of Suspicious Cross-Border Transfers
   • Case Study: HSBC & Quantexa – AI Agents Increasing AML Detection by 30%
   • Hands-On Activity: Compliance and Risk Surveillance

9. Responsible, Fair & Auditable AI Agents

   Lesson 9

   • Governance Frameworks for AI in Finance (RBI, EU AI Act)
   • Transparency and Auditability in Decision Logic
   • Ensuring Fairness and Explainability
   • Use Case: Auditable AI Logs for Fair Lending Practices
   • Case Study: Wells Fargo – Internal AI Fairness Reviews for Lending Bots
   • Hands-On Activity: Responsible and Fair AI Agents

10. World-Famous Case Studies & Capstone

    Lesson 10

    • Case Study: JPMorgan’s COiN Platform
    • Case Study: PayPal’s AI for Fraud Detection
    • Case Study: Upstart’s AI-Driven Credit Scoring
    • Capstone Project: Build a Functional AI Finance Agent
    • Key Takeaways and Module Wrap-Up