
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.
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.
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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 |
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Certificate Issued By |
Indian Institute of Technology Jammu |
|
Duration |
6 months |
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Total Learning Hours |
100 hours |
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Live Online Sessions |
80 hours |
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Hands-on Labs and Assignments |
20 hours |
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Weekly Commitment |
3 hours per week |
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Learning Mode |
Online |
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Teaching Approach |
Live sessions with IIT Jammu faculty and industry experts |
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Batch Strength |
100 participants |
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Attendance Requirement |
Minimum 70% |
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.
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.
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Module |
Topics Covered |
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Financial Markets and Digital Transformation |
Global and Indian financial markets, market participants, equity, debt, derivatives, commodities, fintech, APIs and digital infrastructure |
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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 |
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Generative AI and LLMs in Finance |
GenAI fundamentals, transformers, attention mechanisms, GPT, Claude, LLaMA, Gemini, fine-tuning, RAG and prompt engineering |
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Financial Data Engineering and Alternative Data |
Structured and unstructured data, market datasets, company filings, earnings calls, sentiment data, web scraping and feature engineering |
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Prompt Engineering for Finance |
Prompt design, financial reasoning, structured outputs, hallucination risks, prompt evaluation and optimisation |
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GenAI for Trading and Strategy Development |
Quantitative strategies, alpha generation, backtesting, technical indicators and human-in-the-loop systems |
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Portfolio Management and Robo-Advisory |
Modern Portfolio Theory basics, risk-return optimisation, robo-advisory frameworks and AI-based personalisation |
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Risk, Compliance and Surveillance |
Credit, market and operational risk, fraud detection, anti-money laundering, stress testing and automated compliance reporting |
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AI Agents and Autonomous Finance Systems |
AI agents, multi-agent collaboration, agentic workflows, financial AI agents and workflow automation |
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Multimodal AI in Financial Markets |
Text, charts, audio and video analysis, earnings call transcription, visual chart understanding and voice-based advisory systems |
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Ethics, Governance and Regulations |
Responsible AI, bias and fairness, RBI and SEBI frameworks, data privacy, cybersecurity and AI governance |
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Capstone Project |
Problem framing, solution architecture, business impact assessment, project development and final presentation |
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:
Pandas and NumPy for financial data handling and analysis.
ChatGPT, Claude, LLaMA and Gemini for financial research and analysis.
Building retrieval-augmented generation pipelines and exploring Hugging Face.
Yahoo Finance and Alpha Vantage for accessing financial datasets.
BeautifulSoup for collecting financial news and other information.
Backtrader and Zipline for exploring and testing trading strategies.
LangChain and CrewAI for developing financial AI agents.
Zapier and AI integrations for workflow automation.
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.
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.
The programme is intended for professionals and learners interested in combining financial market knowledge with Generative AI applications.
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.
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
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 |
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Application Fee |
Rs. 500* |
|
Programme Fee |
Rs. 60,000* |
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GST |
Additional, at the applicable rate |
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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.
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.
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 |
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Financial Research |
Summarising company filings, analysing earnings calls and preparing research insights |
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Trading and Strategy Development |
Exploring trading strategies, analysing market data and backtesting approaches |
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Portfolio Management |
Supporting portfolio analysis, risk-return calculations and robo-advisory workflows |
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Risk Management |
Identifying anomalies, analysing risk indicators and supporting scenario simulations |
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Compliance and Surveillance |
Assisting with compliance reporting, fraud detection and monitoring workflows |
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FinTech and AI Product Development |
Building AI-enabled financial products, assistants and automated workflows |
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Financial Data Analytics |
Working with financial datasets, APIs, sentiment information and dashboards |
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.
