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AI Foundations
Understand AI concepts, models and technologies used in finance.
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Executive Development Programme in AI for Finance Batch-1
Artificial Intelligence is redefining the future of finance by transforming decision-making, automating processes, strengthening risk management, and driving innovation across the financial ecosystem. This programme equips finance professionals with the knowledge and practical skills to understand, evaluate, and implement AI-driven solutions in finance, banking, audit, risk management, compliance, and fintech. Through real-world case studies, hands-on applications, and industry-relevant frameworks, participants will learn how to responsibly adopt AI technologies and lead digital transformation initiatives within their organizations.
- Start date
- 6th December, 2026
- Duration
- 8 months months · 120 hrs
Programme Objective
Artificial Intelligence for Finance Professionals
This programme equips finance professionals with practical fluency in Artificial Intelligence, enabling them to understand, evaluate and apply AI technologies across finance and fintech. Participants gain hands-on exposure to AI tools, models and workflows that support financial analysis, forecasting, decision-making and business transformation.
Finance Use Cases
Banking, treasury, audit, compliance, fraud detection and risk.
Hands-on Learning
Work with Python notebooks, AI environments and Generative AI.
Strategic Adoption
Build AI roadmaps that deliver measurable business value.
Programme Outcome
How can finance professionals confidently leverage Artificial Intelligence to drive better business decisions?
Through practical exposure to Python-based notebooks, AI development environments, pre-trained models and Generative AI platforms, participants learn how AI can transform financial data into actionable insights. They develop the ability to evaluate AI-enabled solutions, collaborate with technical teams, understand governance considerations and support strategic AI adoption.
Program USP
Practical AI Learning
Learn through GenAI platforms, Excel, Power BI, Google Colab, Python demonstrations and no-code tools—suitable even for finance professionals without a technical background.
End-to-End Finance Coverage
Covers the finance value chain from the CFO's office to banking, lending, payments, risk, compliance, blockchain and digital finance.
Finance-Focused AI Programme
Focused on practical AI applications across finance, banking, audit, risk, compliance and fintech rather than generic AI concepts.
Pedagogy
Learn through an engaging blend of live faculty interaction, practical application and collaborative learning.
The programme combines live online instruction, case-based discussions, practical exercises, collaborative learning and continuous faculty engagement for working professionals.
Live Faculty Sessions
Interactive LIVE online sessions delivered by XLRI faculty through a technology-enabled Direct-to-Device platform.
Case-Based Learning
Classroom discussions, exercises and selected cases connect AI concepts with practical finance and business applications.
Learning Management System
Access learning resources, reference material, assessments, assignments, projects and additional study content.
Continuous Faculty Support
Engage with faculty during live sessions and through the LMS to ask questions, clarify concepts and deepen understanding.
Mode of Engagement
Learn through an immersive digital experience
The programme is delivered through a live and interactive Direct-to-Device (D2D) learning model, enabling participants to attend sessions from anywhere while engaging with XLRI faculty and industry experts.
Live D2D Learning
Attend interactive live online sessions from anywhere.
Technical Orientation
A platform orientation is conducted before programme commencement.
Session Recordings
Recorded sessions may be available for revision, subject to approval.
XLRI Certification
The programme is accredited and certified directly by XLRI.
Learning Experience
Experience the flexibility of live online learning with the academic excellence of XLRI.
Participants benefit from live faculty interaction, technology-enabled delivery, structured onboarding and access to recorded sessions where approved, creating a seamless learning experience throughout the programme.
Programme Curriculum
AI across the finance value chain
Eight modules build practical understanding of Artificial Intelligence across financial analysis, the CFO office, banking, lending, payments, risk, audit, compliance, fintech and digital finance.
1 Module 1 Finance in the Age of AI AI Foundations
Build an accessible understanding of AI, machine learning, Generative AI and automation in financial work.
- ›AI, machine learning, GenAI and automation
- ›Where AI is used in finance today
- ›GenAI, Excel, Power BI, Python, Colab and no-code tools
- ›AI-enabled finance demonstrations
2 Module 2 Financial Data and AI Foundations Data Literacy
Understand the financial data foundations required to interpret AI-enabled models and decisions.
- ›Accounting, market, transaction, customer and textual data
- ›Data quality, missing values, outliers, bias and leakage
- ›Basic machine-learning concepts
- ›Interpreting model outputs in finance
3 Module 3 Generative AI for Financial Work GenAI Applications
Explore Generative AI for financial analysis, document review, knowledge retrieval and decision support.
- ›Large language models and Generative AI
- ›Prompting for financial analysis and decision support
- ›GenAI with reports, calls, audit notes, contracts and board papers
- ›Finance knowledge assistant
- ›Hallucination, confidentiality and verification
4 Module 4 AI in the CFO Office CFO Applications
- ›FP&A, budgeting and forecasting
- ›Management reporting and dashboard commentary
- ›Scenario and sensitivity analysis
- ›Working capital, cost, revenue and margin analytics
- ›AI-enabled finance workflows
5 Module 5 AI in Banking, Lending, Payments and FinTech Financial Services
- ›AI in banking and financial services
- ›Digital lending, credit scoring and underwriting
- ›Payments, open banking and embedded finance
- ›Wealth-tech, insurtech and regtech
- ›Scale, speed and competitive advantage
6 Module 6 AI in Risk, Audit, Fraud Detection and Compliance Risk & Control
- ›Risk assessment and audit analytics
- ›Fraud detection and anomaly identification
- ›Credit, operational and compliance risk
- ›Continuous monitoring and internal controls
- ›Explainability and accountability
7 Module 7 Digital Finance Architecture and Emerging Technologies Digital Infrastructure
- ›APIs, cloud and data platforms
- ›Blockchain, smart contracts, CBDCs and tokenisation
- ›Cybersecurity and operational resilience
8 Module 8 Responsible AI, Strategy and Capstone Governance & Strategy
- ›AI governance and model-risk management
- ›Bias, fairness, explainability and privacy
- ›Prioritising AI use cases in finance
Capstone Output Design an AI-enabled financial use case Applied Project
Participants design an AI-enabled use case in finance, banking, risk, audit or fintech.
- ›Business problem
- ›Data requirements
- ›Workflow and tools
- ›Expected benefits
- ›Key risks
- ›Governance controls
- ›Implementation roadmap
Programme Fee
Investment in your learning journey
The programme fee is payable in convenient instalments, enabling participants to plan their investment while pursuing the programme.
- Total Programme Fee
- ₹2,50,000
- Reduced Programme Fee
- ₹1,85,000
- + GST
The programme fee has been reduced from ₹2,50,000 to ₹1,85,000 + GST. The revised programme fee may be paid through the structured instalment schedule below.
| Payment | Amount | Due Date |
|---|---|---|
| Registration / Instalment 1 | ₹20,000 + GST | At the time of registration |
| Instalment 2 | ₹41,250 + GST | Within 7 days of registration |
| Instalment 3 | ₹41,250 + GST | 25 January 2027 |
| Instalment 4 | ₹41,250 + GST | 25 March 2027 |
| Instalment 5 | ₹41,250 + GST | 25 May 2027 |
Certification
Certificate of Completion: Minimum 70% attendance with successful completion of project and assessment requirements.
Certificate of Participation: Minimum 50% attendance with successful completion of project and assessment requirements.
Important Notes
- Keep your Registration ID and Password safely for future correspondence.
- Incomplete applications will not be processed and shall stand cancelled.
- XLRI and LeadUp reserve the right to cancel candidature in case of misconduct or submission of misleading information.
Refund Policy
- Refund requests must be submitted at least 15 days before commencement of classes.
- A processing charge of INR 5,000 will be deducted from the first instalment refund.
- Refund requests should be emailed to [email protected] .
- Requests received by LeadUp will be forwarded to XLRI within one business day.
Programme Fee
Connect with Our Programme Partners
For programme-specific queries, admissions assistance, or additional information, please connect with our authorized programme partners.
ADMISSION DETAILS
Registration & Programme Information
Complete your application for the Executive Development Programme in Leadership & Change Management offered by XLRI Jamshedpur in association with .
Registration Process
- Online Application: Submit the online application with an admission fee of ₹20,000 + Taxes (Indian Participants).
- Registration: Register by clicking the Register button on the programme page.
- Payment: Use your Login ID and Password to complete the online payment.
- Application Fee: After successful registration, pay the ₹57,500 + Taxes first instalment online.
- Last Date: Payment of application fee and first instalment must be completed by 25th December 2026.
- Application Completeness: Applications without photograph, educational qualifications or work experience details will not be accepted.
Eligibility
Indian Participants
For Indian Participants - Graduates (10+2+3) or Diploma Holders (10+2+3 or
10+2+4) from a recognised university (UGC/AICTE/DEC/AIU/State
Government) in any discipline.
International Participants
Graduation or equivalent qualification from a recognized university of Institution in the respective country .
Enquiry & Contact
XLRI VIL Office
☎ 0657-665-3272 / 3274 / 3213
✉ [email protected]
- LeadUp Admission Desk
- ☎ +917338830088 ✉ [email protected]
Life at Our Campus
Programmes at XLRI combine live online learning with time on the Jamshedpur campus, a green, historic setting where participants meet faculty and peers in person, join campus sessions and build a lasting professional network.
