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Generative AI Course from IIT Jammu with PW Online Degree

The IIT Jammu Generative AI Course focuses on applying GenAI, large language models and AI agents to financial markets. Explore its six-month curriculum, eligibility, fees, hands-on projects and IIT Jammu certification. Offered through PW Online Degree, the programme connects AI learning with practical applications in trading, investment research, portfolio management, risk and compliance.
authorImageAvisha Das30 Oct, 2026
Generative AI Course from IIT Jammu with PW Online Degree

Generative AI is changing how financial institutions analyse markets, assess risk, conduct investment research and interact with customers. From summarising earnings calls to developing AI-assisted trading strategies, professionals increasingly need to understand both financial systems and the technology behind these applications.

The Professional Certificate Programme in Generative AI for Financial Markets, offered through PW Online Degree in collaboration with IIT Jammu, brings these areas together. The six-month programme combines foundational learning in AI and machine learning with financial market concepts, hands-on coding labs, industry use cases and a capstone project. It is designed for learners who want to explore how GenAI can be applied to banking, capital markets, asset management, fintech and financial analytics.

Inside the IIT Jammu GenAI Course: Format, Duration and Learning Hours

The programme combines live online teaching with practical labs and assignments, giving learners time to understand key concepts and apply them through hands-on activities. Here’s a quick overview of its duration, learning hours, delivery format and other important details.

Programme Detail

Information

Programme Name

Professional Certificate Programme in Generative AI for Financial Markets

Institute

IIT Jammu

Programme Directors

Prof. Hardeep Singh and Prof. Karan Nathwani

Certificate Issued By

Indian Institute of Technology Jammu

Duration

6 months

Total Learning Hours

100 hours

Live Online Sessions

80 hours

Hands-on Labs and Assignments

20 hours

Weekly Commitment

3 hours per week

Learning Mode

Online

Teaching Approach

Live sessions with IIT Jammu faculty and industry experts

Batch Strength

100 participants

Attendance Requirement

Minimum 70%

How the IIT Jammu Generative AI Course Combines Live Teaching With Hands-On Learning

The programme combines academic instruction with practical exposure to financial market applications. Its academic content and course design are led by IIT Jammu, with sessions delivered by IIT Jammu faculty and industry experts.

  • Live online classes: Instructor-led sessions with opportunities to interact with faculty.

  • Hands-on coding labs: Practical work with AI frameworks, financial datasets and relevant toolkits.

  • Industry case studies: Examples of GenAI applications across financial services.

  • Doubt-solving support: Opportunities to raise questions during live sessions.

  • Learning resources: Access to presentations, projects, assignments and other programme materials through the learning platform.

  • Session recordings: Recordings are available in view-only mode on the learning platform until the programme ends.

The programme requires at least 70% attendance. Participants should also check the evaluation requirements applicable to the Certificate of Completion.

From Market Data to AI Agents: What Will You Learn?

The curriculum connects the fundamentals of financial markets with the tools and techniques used to build GenAI applications. You begin with market concepts and AI foundations before moving towards trading strategies, portfolio management, risk analysis and autonomous AI systems.

Module

Topics Covered

Financial Markets and Digital Transformation

Global and Indian financial markets, market participants, equity, debt, derivatives, commodities, fintech, APIs and digital infrastructure

Foundations of AI and ML for Finance

AI, machine learning, deep learning, supervised and unsupervised learning, reinforcement learning, model lifecycle and bias-variance trade-off

Generative AI and LLMs in Finance

GenAI fundamentals, transformers, attention mechanisms, GPT, Claude, LLaMA, Gemini, fine-tuning, RAG and prompt engineering

Financial Data Engineering and Alternative Data

Structured and unstructured data, market datasets, company filings, earnings calls, sentiment data, web scraping and feature engineering

Prompt Engineering for Finance

Prompt design, financial reasoning, structured outputs, hallucination risks, prompt evaluation and optimisation

GenAI for Trading and Strategy Development

Quantitative strategies, alpha generation, backtesting, technical indicators and human-in-the-loop systems

Portfolio Management and Robo-Advisory

Modern Portfolio Theory basics, risk-return optimisation, robo-advisory frameworks and AI-based personalisation

Risk, Compliance and Surveillance

Credit, market and operational risk, fraud detection, anti-money laundering, stress testing and automated compliance reporting

AI Agents and Autonomous Finance Systems

AI agents, multi-agent collaboration, agentic workflows, financial AI agents and workflow automation

Multimodal AI in Financial Markets

Text, charts, audio and video analysis, earnings call transcription, visual chart understanding and voice-based advisory systems

Ethics, Governance and Regulations

Responsible AI, bias and fairness, RBI and SEBI frameworks, data privacy, cybersecurity and AI governance

Capstone Project

Problem framing, solution architecture, business impact assessment, project development and final presentation

Which AI Tools and Technologies Will You Work With?

The programme introduces tools and platforms used for financial data analysis, GenAI development and automation. Practical sessions help you understand how these technologies can be applied to financial workflows.

Some of the tools and technologies covered include:

1. Python Libraries

Pandas and NumPy for financial data handling and analysis.

2. LLM Platforms

ChatGPT, Claude, LLaMA and Gemini for financial research and analysis.

3. RAG and Open-Source Tools

Building retrieval-augmented generation pipelines and exploring Hugging Face.

4. Financial Data APIs

Yahoo Finance and Alpha Vantage for accessing financial datasets.

5. Web Scraping

BeautifulSoup for collecting financial news and other information.

6. Trading and Backtesting Tools

Backtrader and Zipline for exploring and testing trading strategies.

7. AI Agent Frameworks

LangChain and CrewAI for developing financial AI agents.

8. Automation Tools

Zapier and AI integrations for workflow automation.

9. Analysis and Explainability

Model evaluation techniques and introductory SHAP demonstrations.

The tools are introduced in the context of financial use cases, helping you connect technical concepts with practical applications.

Build a Financial AI Solution Through the Capstone Project

The capstone project allows you to apply the concepts covered during the programme to a financial market problem. You work through the stages of problem identification, solution planning, development and evaluation.

Possible project directions include:

  • AI Trading Assistant: Develop an AI-supported tool for exploring trading strategies and market information.

  • Portfolio Advisor Bot: Build a bot that uses portfolio information and risk-return concepts to support investment analysis.

  • Risk Monitoring Dashboard: Create a dashboard to monitor risk-related information and identify unusual patterns.

Who Can Apply for the IIT Jammu Generative AI Course?

The programme is intended for professionals and learners interested in combining financial market knowledge with Generative AI applications.

Eligibility Criteria

Applicants from India should meet the following educational and experience requirements:

  • Engineering graduates or diploma holders from recognised universities or institutes in any discipline can apply.

  • A minimum of one year of work experience is specified.

  • Freshers with a good academic background may also apply.

  • Final selection is subject to screening by IIT Jammu.

Who Should Consider This Programme?

The course may be relevant to professionals working in:

  • Banks and non-banking financial companies (NBFCs)

  • Asset management companies

  • Equity, derivatives and commodity markets

  • Risk, compliance and treasury

  • Fintech and financial product management

  • Data and business analytics in BFSI

  • Investment advisory and research

  • Portfolio management

  • Technology roles in financial services

  • Entrepreneurship and AI-led finance solutions

What Is the IIT Jammu GenAI Course Fee?

The programme fee is listed as Rs. 60,000 + GST*, excluding the application fee. Applicants should account for the additional tax and registration charge when estimating the total payable amount.

Fee Component

Amount

Application Fee

Rs. 500*

Programme Fee

Rs. 60,000*

GST

Additional, at the applicable rate

Total Programme Fee

Rs. 60,000 + GST*

The programme fee can be paid in two instalments of Rs. 30,000* each. The application fee is payable at registration and is non-refundable if the applicant's profile is rejected by the institute.

*Fees are subject to the applicable terms and may change. Confirm the latest fee, GST amount and payment schedule before applying.

What Certificate Will You Receive After the Programme?

Participants who fulfil the programme's attendance and evaluation requirements receive a Certificate of Completion issued by IIT Jammu.

The certificate is awarded after the participant meets the stated course-completion criteria. Admission and selection are handled through screening by IIT Jammu, so applicants should review the eligibility conditions and selection process before registering.

Career Opportunities After Learning GenAI for Financial Markets

GenAI knowledge combined with financial market understanding can be relevant to roles involving data analysis, research, automation, risk and technology. The programme covers applications across several areas of financial services, allowing participants to explore how AI can support different kinds of work.

Career Area

How GenAI Skills May Be Applied

Financial Research

Summarising company filings, analysing earnings calls and preparing research insights

Trading and Strategy Development

Exploring trading strategies, analysing market data and backtesting approaches

Portfolio Management

Supporting portfolio analysis, risk-return calculations and robo-advisory workflows

Risk Management

Identifying anomalies, analysing risk indicators and supporting scenario simulations

Compliance and Surveillance

Assisting with compliance reporting, fraud detection and monitoring workflows

FinTech and AI Product Development

Building AI-enabled financial products, assistants and automated workflows

Financial Data Analytics

Working with financial datasets, APIs, sentiment information and dashboards

Why Choose the IIT Jammu Generative AI Course Through PW Online Degree?

PW Online Degree helps you explore professional certificate programmes from reputed institutions and get guidance throughout the course selection process. Its key features include:

  • Personalised Counselling: Get guidance to understand programme options and choose a course aligned with your goals.

  • Institutional Partnerships: Explore certificate programmes offered in collaboration with reputed institutions.

  • Scholarship Opportunities: Check available scholarship benefits on eligible programmes.

  • Job-Ready Training: Explore learning opportunities focused on developing skills relevant to professional roles.

  • Flexible Online Learning: Access programmes through online learning formats while managing other commitments.

  • Admission Assistance: Get support with course-related queries and the admission process.

The IIT Jammu Generative AI Course brings together AI foundations, financial market knowledge and practical applications across trading, research, portfolio management, risk and compliance. Its six-month format includes live sessions, coding labs, industry use cases and a capstone project, with a Certificate of Completion issued by IIT Jammu for eligible participants. Through its collaborations with leading institutions, PW Online Degree gives learners access to specialised programmes such as this one, helping them explore emerging applications of technology in fields like financial services.

 

FAQs

What is the IIT Jammu Generative AI Course?

It is a six-month Professional Certificate Programme in Generative AI for Financial Markets. It covers GenAI, large language models, financial data, trading, portfolio management, risk, compliance and AI agents.

How long is the IIT Jammu GenAI programme?

The programme runs for six months and includes 100 learning hours: 80 hours of live online sessions and 20 hours of hands-on labs and assignments.

What is the fee for the IIT Jammu Generative AI Course?

The listed programme fee is Rs. 60,000 + GST*, with a separate application fee of Rs. 500*. Confirm the current fee and payment terms before registration.

Who is eligible for the programme?

Engineering graduates and diploma holders from recognised institutions in any discipline can apply. A minimum of one year of work experience is specified, although freshers with a good academic background may also apply. Final selection is subject to IIT Jammu screening.
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