Investment Management with GenAI & ML Applications
- 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.
Live Online
3 Months
₹ 50,000+GST
Nov 14, 2026
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
Tools










Course Instructor

Vipin Chaudhary
Industry Expert
Vipin Chaudhary is the Head of Data and Analytics for Non-Financial Risk at a leading American bank in Mumbai, specializing in Generative AI, Machine Learning, Semantics, and Business Intelligence. He is a graduate of the Indian Institute of Technology Kanpur and holds a postgraduate degree from the Indian Institute of Management Indore, with over 5 years of teaching experience.
Learn From Investment Management & AI Experts
Learn from knowledgeable faculty and professionals to apply GenAI and ML to investment research, portfolio decision-making, risk management, along with financial and operational workflows.
Learn Through Real Investment Management Challenges
Investigate real-world examples of investment applications that demonstrate how AI can enhance alpha generation, research, portfolio construction, risk analysis, and model governance.
Flexible Online Investment Management Course
Learn AI/ML through live online weekend sessions with recorded access. This is designed specifically for investment professionals working full-time who require flexible learning.
Build an Industry-Relevant Investment AI Project
Apply your learning through a guided capstone and create an AI Investment Strategy Memo covering ML models, GenAI architecture, and model governance.


