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Executive IIM 🧑‍💻 For Working Professionals ✦︎ AI-First

Executive Programme for AI in Fintech

Indian Institute Of Management Kashipur (IIM Kashipur)
Indian Institute Of Management Kashipur (IIM Kashipur)
Duration

7 Months

Type

Executive

Mode

Online

₹81,000

Total Program Fees

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Member of AACSB

Program Overview

The Executive Programme for AI in FinTech is designed for working professionals seeking to understand how artificial intelligence is transforming modern financial systems. The programme combines FinTech fundamentals with AI, machine learning, blockchain and data-driven decision-making through an application-oriented curriculum. Participants gain practical exposure to real-world financial use cases, hands-on labs and a capstone project.

Program Highlights

Build expertise at the intersection of Artificial Intelligence, FinTech and financial analytics.
Learn through real-world applications including credit scoring, fraud detection, portfolio optimisation and financial forecasting.
Gain hands-on experience with financial datasets, AI tools and machine learning models.
Apply learning through practical labs and an industry-relevant capstone project.
Participate in a two-day campus immersion and earn a prestigious certificate from IIM Kashipur.

Curriculum

Module I: Foundations of FinTech & Intelligent Financial Systems
  • The evolution of FinTech
  • FinTech Business Model Categories: Payments
  • Lending
  • WealthTech
  • InsurTech
  • RegTech
  • Revenue Models in Fintech: Paytm and Zerodha Cases
  • Mapping FinTech Opportunities: India Stack as a Startup Platform
  • Core concepts in financial markets
  • risk
  • and credit
  • Introduction to financial datasets: security prices
  • credit ratings
  • market data
Module II: Fintech Concepts and Blockchain
  • Role of NPCI (National Payments Corporation of India): UPI
  • IMPS
  • Mobile Wallets
  • Payment Gateways and Payment Aggregators: Transactions
  • Tokenization
  • Recurring Payments: Risk
  • Fraud & Failure Scenarios in Recurring Payments
  • Blockchain and how does it work: When does/does not Blockchain make sense?
  • Consensus Mechanisms: PoW and PoS
  • Blockchain Architecture
  • Smart Contracts
  • Public vs. Private vs. Consortium Blockchains
  • Decentralized Finance (DeFi): Decentralized Exchanges (DEXs)
  • AMMs
  • Decentralized Lending & Over-Collateralization
Module III: Data Exploration & Visualization for Financial Insights
  • Introduction to Python
  • Exploratory Data Analysis (EDA) for structured & unstructured finance data
  • Data preprocessing: Cleaning
  • normalization
  • and feature engineering for financial data.
  • Visual storytelling with stock market
  • credit bureau & bank datasets
  • Hands-on lab: Creating a visual dashboard for financial data
Module IV: Machine Learning Models and Predictive Modeling for Credit & Risk Intelligence (Fintech Application)
  • Core ML algorithms: Regression
  • classification
  • clustering
  • Applications: Predictive modeling for stock prices and credit scoring
  • Loan default prediction
  • Risk analytics for SME lending
  • credit cards
  • and personal loans
  • Model tuning
  • validation
  • and bias detection in financial ML models
  • Use-case lab: Build a regression model for stock price prediction
  • Build and interpret a credit risk model using real data
Module V: Algorithmic Trading, WealthTech & Portfolio Analytics
  • Rule-based and ML-based trading strategies
  • Backtesting trading signals using Python
  • Portfolio optimization using Sharpe Ratio
  • VaR
  • and Monte Carlo
  • Robo-advisory engines & personalization of wealth products
  • Hands-on lab: Simulate and optimize a portfolio allocation strategy
Module VI: AI models for forecasting
  • AI models for financial analytics: ANN
  • RNN
  • CNN
  • Application in time series forecasting and credit scoring
  • Evaluating model performance and inference
  • Hands-on Lab: Train AI models for cryptocurrency price forecasting
Module VII: NLP, Deep Learning & Generative AI in Fintech and Finance
  • NLP basics: Tokenization
  • sentiment analysis
  • topic modeling
  • Applications in Fintech: Sentiment analysis using news
  • earnings transcripts
  • and tweets
  • Deep learning for time-series: stock movement prediction
  • fraud detection
  • GenAI use-cases: financial summarization
  • Automating investment reports
  • policy parsing
  • and KYC
  • GenAI: Prompt engineering for finance
  • Risks of hallucination
  • Use-case lab: Build an NLP model to perform sentiment analysis on financial news
  • Compare LLM Output with Analysts Note
Module VIII: Additional AI applications in FinTech
  • Fraud detection: Anomaly detection algorithms (Isolation forests)
  • Regulatory tech (RegTech): AI for compliance
  • Use-case lab: Fraud detection system using unsupervised learning
Module IX: Capstone Project - Solving Real-World FinTech Challenges
  • Fraud Detection System for NBFCs
  • Personalized Investment Recommender
  • Loan Approval Automation Engine
  • Wealth Portfolio Optimizer with Predictive Rebalancing
  • Any other relevant project

Learning Outcomes

1
Apply AI and machine learning techniques to solve real-world financial and FinTech challenges.
2
Analyse financial datasets to support data-driven decision-making and predictive modelling.
3
Evaluate AI applications across lending, risk management, trading, compliance and digital payments.
4
Build practical AI-enabled solutions for forecasting, fraud detection and portfolio optimisation.
5
Integrate emerging technologies such as blockchain, Generative AI and data analytics into modern financial ecosystems.

Eligibility Criteria

Any graduate with 2 years of work experience

Fees & Financing

Program Fee

One-time

₹80,000

Application Fee

One-time

₹1,000

Total

₹81,000

Total Program Fees

1 year · all components included

₹81,000

💰 EMI Options Available

Starting from ₹6,750/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Indian Institute Of Management Kashipur (IIM Kashipur)

Indian Institute Of Management Kashipur (IIM Kashipur)

Indian Institute Of Management Kashipur (IIM Kashipur)

Member of AACSB

Established in 2011 by the Government of India, the Indian Institute of Management Kashipur is a second-generation IIM committed to excellence in management education. Guided by the values of collegiality, transparency, sustainability and stakeholder engagement, the institute fosters academic excellence, research and innovation. Through strong industry collaboration and a future-focused approach, IIM Kashipur develops responsible leaders equipped to address evolving business and societal challenges.

View University Profile

Frequently Asked Questions

1) What is the Executive Programme for AI in FinTech offered by IIM Kashipur?
It is a 7-month fintech certificate program designed to help professionals understand how AI in FinTech is transforming financial systems. The programme covers key areas such as machine learning, financial data analysis, blockchain, and AI-driven applications across finance.
2) What is the duration and learning format of the programme?
The programme runs for 7 months and is delivered through live online sessions with recordings. It includes a total of 80 learning hours, comprising 68 hours of online sessions and a two-day on-campus immersion.
3) What topics are covered in this AI for FinTech programme?
The curriculum includes FinTech fundamentals, blockchain, financial data analysis, machine learning models, algorithmic trading, portfolio analytics, NLP, deep learning, and generative AI in finance, along with a capstone project.
4) What are the eligibility criteria for this fintech certification course?
Applicants must be graduates from a recognized university with Mathematics/Statistics at the 10+2 level, have a minimum of 2 years of work experience, and demonstrate proficiency in English.
5) How does this programme help build a career in AI in FinTech?
The programme helps learners understand the application of fintech artificial intelligence across areas such as lending, trading, risk analytics, and compliance, enabling them to build relevant skills for roles in FinTech and financial analytics.

Program Details

Duration 7 Months
Mode Online
Fees ₹81,000

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