A 40-hour hands-on practitioner track that equips finance professionals to safely implement AI inside real workflows — improving speed, quality, and decision support without breaking auditability or judgment.
Purpose: Turn generic AI usage into finance-grade, auditable AI outputs.
A. Finance-Grade AI Reasoning
B. Audit-Proof Outputs
C. Role-Specific Prompt Libraries
D. Hallucination Control — The VVCA Framework
Purpose: Connect AI with real Indian financial documents to build accurate, source-backed insights.
A. Why Finance Needs RAG
B. Indian Finance Document Intelligence
C. APIs for Finance — The Three-Level Scale Model
Purpose: Design AI-supported workflows — not autonomous decision makers.
A. Where Agentic AI Makes Sense in Finance
B. Workflow Orchestration
C. Human-in-the-Loop Design
Purpose: Use AI as a thinking partner — not a model builder.
A. AI as a Modeling Assistant
B. Model Review & Validation
C. Decision-Support Thinking
Purpose: Prove real execution capability — not theoretical understanding.
Choose ONE Capstone Track
Capstone Must Include




Purpose: Turn generic AI usage into finance-grade, auditable AI outputs.
A. Finance-Grade AI Reasoning
B. Audit-Proof Outputs
C. Role-Specific Prompt Libraries
D. Hallucination Control — The VVCA Framework
Purpose: Connect AI with real Indian financial documents to build accurate, source-backed insights.
A. Why Finance Needs RAG
B. Indian Finance Document Intelligence
C. APIs for Finance — The Three-Level Scale Model
Purpose: Design AI-supported workflows — not autonomous decision makers.
A. Where Agentic AI Makes Sense in Finance
B. Workflow Orchestration
C. Human-in-the-Loop Design
Purpose: Use AI as a thinking partner — not a model builder.
A. AI as a Modeling Assistant
B. Model Review & Validation
C. Decision-Support Thinking
Purpose: Prove real execution capability — not theoretical understanding.
Choose ONE Capstone Track
Capstone Must Include



