Glossary of Terms
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Session 1 - Getting Started with AI in Financial Services
Session 2 - Smarter Banking Through Intelligent Customer Engagement
Session 3 - Detecting Suspicious Transactions with AI
Session 4 - Modern Lending with Intelligent Credit Assessment
Session 5 - Personalized Investment Planning with AI
Session 6 - Transforming Insurance Operations with AI
Session 7 - Strengthening Compliance Through Intelligent Monitoring
Session 8 - Building Reliable AI with Better Data
Session 9 - Responsible AI for Fair and Secure Financial Decisions
Assessments
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Assessment - 2. AI for Customer Experience & Personalization
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Assessment - 1. Fintech & AI Foundations
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Assessment - 3. AI in Fraud Detection & Transaction Monitoring
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Assessment - 4. AI in Credit Scoring & Digital Lending
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Assessment - 5. AI in WealthTech & Robo‑Advisory
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Assessment - 6. AI in InsurTech & Claims
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Assessment - 7. AI for Regulatory Compliance & RegTech
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Assessment - 8. Data, Architecture & Tools for AI in Fintech
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Assessment - 9. Risk, Ethics & Governance of AI in Fintech
Assignments
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Assignment - 1. Fintech & AI Foundations
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Assignment - 2. AI for Customer Experience & Personalization
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Assignment - 3. AI in Fraud Detection & Transaction Monitoring
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Assignment - 4. AI in Credit Scoring & Digital Lending
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Assignment - 5. AI in WealthTech & Robo‑Advisory
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Assignment - 6. AI in InsurTech & Claims
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Assignment - 7. AI for Regulatory Compliance & RegTech
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Assignment - 8. Data, Architecture & Tools for AI in Fintech
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Assignment - 9. Risk, Ethics & Governance of AI in Fintech
Lab Activity
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Lab Activity - 1. Learners list 3 features in any app they use (UPIwalletbanking app) and identify where AI is or could be used
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Lab Activity - 2. Short sharingpoll to categorize each feature as CX, risk, or operations
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Lab Activity - 3. Learners design a simple chatbot flow for “Forgot card PIN” or “Disputed transaction”
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Lab Activity - 4. They write 3-5 prompts that a generative AI assistant could answer and refine them for clarity and tone
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Lab Activity - 5. Learners receive a small table of 8–10 sample transactions with notes (new device, high amount, foreign location, etc.)
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Lab Activity - 6. They mark which should be “Green Review Block” and explain their reasoning, then compare with a suggested AI‑style rule set
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Lab Activity - 7. Provide a simplified matrix of 5-6 loan applicants with attributes
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Lab Activity - 8. Learners assign lowmediumhigh risk and propose a lending decision, comparing with a simple sample rule
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Lab Activity - 9. AI-Driven Financial Planning
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Lab Activity - 10. Learners map a simple “file a motor accident claim” journey
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Lab Activity - 11. They identify 3 steps where AI can reduce effort or time and note what data it would need
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Lab Activity - 12. Learners review 5 short alert descriptions (large transfer, unusual country, dormant account suddenly active, etc.)
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Lab Activity - 13. They rank which should be investigated first and why, then compare with an example AI‑assisted priority order
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Lab Activity - 14. Provide a sample feature (e.g., “Overdraft risk prediction”)
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Lab Activity - 15. Learners list what data is needed, where it might come from, and who would use the output
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Lab Activity - 16. Learners evaluate it on 5 criteria (fairness, transparency, data use, security, oversight) and suggest one improvement
Capstone Projects / Case Studies
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Capstone Project - 1. AI-Based Loan Approval and Risk Scoring Engine
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Capstone Project - 2. AI-Driven Personal Finance Advisor Chatbot
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Capstone Project - 3. AI-Powered Credit Card Fraud Detection System
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Capstone Project - 4. Intelligent Algorithmic Trading and Market Forecasting Platform
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Capstone Project - 5. Real-Time Transaction Monitoring and Compliance Alert System
Sample Resumes
Interview Questions
Prepare your Linkedin profile
Prepare your Resume
Final Quiz
