Indian Institute of Technology Kanpur

Investment Management with GenAI & ML Applications

Indian Institute of Technology Kanpur

Fintech

Application Deadline Approaching

Last date to apply: November 13, 2026 · Program starts on November 14, 2026

About Programme

Master AI for Investment Management. Apply ML, GenAI, ML Knowledge Graphs, and agentic AI throughout the buy-side investment lifecycle.
Create a GenAI Analyst that can be deployed as an Agent. Use LLMs, RAG, prompt engineering, and hallucination control for controlled environments.
Make portfolio risk more intelligent. Utilize AI-enhanced scenarios and stress testing, while comparing ML against traditional optimizers.
Create an easily traceable AI to make portfolio-related decisions. Develop financial Knowledge Graphs and use GraphRAG to solve complex, multi-hop questions about investments.
Make portfolio risk more intelligent. Utilize AI-enhanced scenarios and stress testing, while comparing ML against traditional optimizers.
Learn about the regulatory aspect of AI. Understand model risk SHAP, LIME and pay attention while focusing on AI Governance with SEBI, RBI, MAS, and FCA.
Prove your skills with a real investment project. Create an AI Investment Strategy Memo covering ML model selection, GenAI architecture, and model governance.

What you'll learn

Understand How Machine Learning and Generative AI Enhance Research, Alpha Generation, Portfolio Management, Risk Analysis, and Investment Decision-Making.
Learn Supervised, Unsupervised, Time-Series, and Reinforcement Learning Techniques and Their Applications in Investment Workflows.
Build AI-Powered Research Workflows Using Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).
Create Reliable AI Investment Analysts with LLMs and RAG While Reducing Hallucinations and Improving Response Accuracy.
Develop Knowledge Graphs and Apply GraphRAG to Generate Traceable Insights for Complex Investment Research.
Interpret AI-Driven Investment Models Using SHAP, LIME, and Attention-Based Explainability Techniques.

Skills you'll gain

AI-Driven Investment AnalysisGenAI & LLM Application AI Agent Development Knowledge Graph & GraphRAG AI-Powered Risk Analysis AI Model Explainability AI Governance & Model Risk AI Investment Leadership Applied Investment Strategy Portfolio Construction AI Investment Strategy & Leadership

Programme Content

Topics Covered

  • Global Assets Under Management (AUM) Trends
  • Active vs Passive Investing Landscape
  • Alpha Decay and the Need for AI-Driven Investing
  • Role of Generative AI in Alpha Generation

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    Topics Covered

  • Modern Portfolio Theory (MPT)
  • Capital Asset Pricing Model (CAPM)

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    Topics Covered

  • Supervised Learning for Return Prediction Using XGBoost and LightGBM
  • Unsupervised Learning for Asset Grouping and Clustering
  • Time-Series Forecasting Using LSTM and Transformer Models
  • Reinforcement Learning for Investment Decision-Making

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    Topics Covered

  • Large Language Model (LLM) Fundamentals
  • Prompt Engineering for Financial Analysis
  • Retrieval-Augmented Generation (RAG) for Research Reports
  • Agentic AI for Portfolio Monitoring
  • Hallucination Mitigation in Regulated Financial Environments

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    Topics Covered

  • Building Financial Knowledge Graphs
  • GraphRAG for Multi-Hop Financial Question Answering
  • Entity Resolution in Unstructured Financial Data

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    Topics Covered

  • Machine Learning-Enhanced Generative AI for Scenario Generation
  • AI-Driven Stress Testing for Portfolio Risk Management

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    Topics Covered

  • Model Risk Frameworks for Machine Learning and Generative AI
  • Bias and Fairness in Credit and Investment Models
  • Model Explainability Using SHAP, LIME, and Attention Mechanisms
  • Regulatory Expectations from SEBI, RBI, MAS, and FCA

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    Topics Covered

  • Scaling AI Capabilities in Asset Management Organizations
  • Agile Squad Model Across Business, Quant, Technology, and Compliance Teams
  • Talent Strategy Through Campus Hiring, Lateral Hiring, and Upskilling
  • Measuring Return on Investment (ROI) for AI Initiatives

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    Indian Institute of Technology Kanpur

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    https://www.iitk.ac.in
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    Investment Management with GenAI & ML Applications | IIT Kanpur