Programme Overview
This course’s objective is to equip financial decision-makers with understanding and skills for the effective integration of artificial intelligence (AI) into financial decision-making. The course focuses on understanding the benefits and risks of AI, addressing the “black-box” problem through explainable AI (xAI), and designing practical workflows for fraud detection, credit scoring, risk management, and forecasting. Participants will learn how to use large language models (LLMs) to analyze financial reports, central bank speeches, and regulatory filings. Participants will gain skills in conveying AI model results to different stakeholders using the correct format.
Programme Objective
- To develop the understanding of explainable AI (xAI) a way out of the “black box” issue.
- To understand the benefit and risks in integrating AI in the financial decision making.
- To understand AI models related to fraud detection, credit scoring, risk management & forecasting.
- To explore the use of LLMs in analyzing the financial reports, central bank speeches, and integrate them in financial decision making.
- To practice communicating model results in an effective manner.
Key Topics
- Introduction to Artificial Intelligence in Finance
- Understanding the “Black-Box” Problem and Explainable AI (xAI)
- AI in Core Financial Decision-Making Areas
- Practical AI Workflow Design for Financial Applications
- Fraud Detection
- Credit Score & Credit Default Risk Prediction
- Risk Management
- Portfolio Management
- Large Language Models (LLMs) in Financial Analysis
- Communicating AI Results to Stakeholders
- Risks and Challenges in AI Adoption
Programme Directors
Who May Attend
Mid and senior-level executives who are working as:
- Financial Professionals and Decision-Makers
- Risk Management Specialists
- Bankers and Credit Analysts
- Regulatory and Compliance Officers
- Investment and Portfolio Managers
- Data Scientists and AI Practitioners in Finance and keen to adopt advanced AI techniques in their professional work. No prior knowledge of Python or coding is required.
Programme Duration and Delivery
- From the morning of January 12, 2026 till the afternoon of January 15, 2026
- Face to face - classroom based
Pedagogy
- Interactive Lectures
- Hands-on Exercise on Python
- Business Case Discussions
- Group Projects
How to Apply
- You can apply/nominate your personnel by clicking on the “Apply Now” link corresponding to the particular MDP, as appearing on our online calendar available at: https://iimcal.ac.in/mdp/mdp-calendar
- Once the candidature(s) is (are) approved, the sponsoring authority or participant (in case of self-nomination) will be intimated over email along with a Proforma Invoice seeking programme fees in advance.
- Programme fees can be remitted online through Electronic Fund Transfer (NEFT/RTGS).
- Upon remitting the fees online, kindly intimate Executive Education Office with the UTRNo. /relevant transaction details through email, so that we can connect your remittance to your nomination(s). Please note that confirmation of participation is subject to receipt of Programme fees by CMDP Office before commencement of the MDP.
For further assistance, please connect with:
Name: Ms. Payel Majumder
Number: +91 33 7121 6012
Email ID: program_mdp[at]iimcal[dot]ac[dot]in
Programme Brochure
