About the Programme
This AI in Fintech Certification Programme offered by TIH TIDF IIT Guwahati in collaboration with TCS iON, is a 3-month industry-aligned course crafted to empower graduates and working professionals with the cutting-edge skills required in the AI-powered Fintech sector. This programme addresses the growing demand for expertise at the intersection of Artificial Intelligence (AI) and Financial Technology (Fintech).
Taught by distinguished faculty members from IIT, IIM, and NIT, along with experienced industry professionals, the course offers a comprehensive curriculum. The course begins with the foundational concepts in Fintech, Financial Services and Insurance (FSI), and the role of AI in these domains. Learners will gain hands-on experience with cutting-edge AI tools and techniques, including Machine Learning (ML), Deep Learning (DL), Generative AI (GenAI), Autonomous Agents, and Natural Language Processing (NLP). The programme also explores practical applications of AI within Fintech. Topics covered in this course include Robotic Process Automation (RPA), AI in Wealth Management and Financial Planning, and AI in Risk Management. In addition, learners will gain insights into complementary skills that enhance human-AI collaboration, reinforced through real-world case studies showcasing the transformative impact of AI in financial services.
Delivered through interactive live sessions, the programme emphasises hands-on learning and case studies, ensuring that participants not only understand theoretical concepts but also develop applicable skills. Whether you are a recent graduate or an experienced professional, this course offers valuable opportunities for career advancement in the rapidly evolving world of AI-powered Fintech.
As the Fintech industry continues to undergo rapid digital transformation, professionals with a strong foundation in AI applications will be in high demand. From Algorithmic Trading and Automated Customer Service to Risk Modeling and Financial Forecasting, AI is reshaping how financial institutions operate. Completing this programme positions participants at the forefront of this shift, opening doors to roles in innovation-driven domains such as AI Strategy, Fintech Product Development, and AI Governance. By gaining both theoretical and applied knowledge, learners will be well-prepared to contribute meaningfully to the future of financial services and to lead in an AI-first economy.
Key Highlights
Offered by TIH TIDF IIT Guwahati and TCS iON
3-month industry-aligned course
100 hours of overall world-class learning experience
Learn from faculty members from IIT, IIM, and NIT and industry experts
Live Lectures for interactive learning and doubt clearing
Dedicated hands-on sessions
Exposure to cutting-edge tools
Case study-based learning and comprehensive curriculum
Develop the Skills
The participants are expected to develop the following skills by the end of the programme:
- Understand the fundamentals of Fintech, Financial Services and Insurance (FSI), and AI in Fintech
- Apply core AI techniques such as Machine Learning, Deep Learning, Natural Language Processing, and Generative AI in Fintech scenarios
- Utilise tools and frameworks for AI model development, deployment, and evaluation in financial applications
- Analyse and apply AI techniques in Wealth Management, Financial Planning, and Risk Management
- Gain hands-on experience through real-world case studies and practical projects simulating Fintech challenges
- Enhance professional prospects by acquiring future-ready AI skills aligned with the evolving Fintech landscape
Develop Hands-on Expertise In
Potential Career Path
This programme opens pathways to both technical and strategic roles in Banks, Insurance Firms, Fintech Startups, Regulatory Bodies, and AI-driven Consultancies.
Learners of this programme will be well-equipped for roles such as:
AI/GenAI on Fintech
- AI/ML Engineer/Data Analyst - Fintech
- Generative AI Engineer - Fintech
- Data Scientist - Fintect
- AI in Wealth and Portfolio Management Consultant
- AI Solutions Architect
- AI-focused Fraud Analyst
Fintech
- Risk Analytics Specialist
- Fintech Product Analyst
- Innovation Strategist - Financial Technology
- Financial Analyst - AI
- Business Analyst - Fintech
Blockchain
- Blockchain Accountant/Financial Analyst
- Blockchain Engineer/Developer/Analyst
- Cryptocurrency/DeFi Specialist
- Blockchain Security Analyst
- Smart Contract Developer
Certificate Programme Recommended for
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Freshers and individuals pursuing Bachelor's/Master's degree, aspiring for a career in the field of AI-powered Fintech
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Junior and mid-career professionals looking for an accelerated career growth and salary hike
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Individuals interested to pursue research in the field of Fintech to gain foundational skills and apply domain knowledge to run a start-up
Programme Pedagogy
Expert-led live sessions
Engage in dynamic training sessions conducted by distinguished faculty members from IIT, IIM, and NIT and industry experts.
Recorded session videos
Access educational content on-demand, available for learning on any device, at any time, ensuring flexibility and convenience for revisiting the material.
Case studies
Enhance critical thinking, problem-solving, and decision-making skills.
Peer networking and expert connect
Expand your professional network and engage with experts through our interactive community platforms, facilitating enhanced learning and problem-solving.
Hands-on learning experiences
Participate in practical sessions where you will work with public datasets, fostering a deep, experiential understanding of the material.
Live doubt solving sessions
Address your queries in real-time with direct access to experts during live sessions, ensuring clarity and immediate assistance.
Dedicated learning management team
Receive continual guidance and support from our committed learning management team, tailored to meet your educational needs and enhance your learning journey.
Programme Syllabus Overview
This comprehensive syllabus covering the latest industry practices and techniques on AI in Fintech is covered in 12 modules across 12 weeks. This course curriculum is designed in a way that it aligns with the current industry trends and practices, making graduates job-ready and valuable to organisations. In addition, guiding the learners through the intricacies of the concepts with hands-on implementations on case studies and scenarios as per the industry standards. Each module provides a solid foundation in building proficiency by ensuring a cohesive and thorough understanding from the basic to the advanced topics leveraging extensive hands-on implementations and case studies.
- Defining the Scope and Importance of FSI in the economy
- Overview of Key Segments
- Understanding the FSI Value Chain
- Introducing Fintech (Financial Technology)
- Fintech vs Traditional FSI
- Core Business Operations in FSI
- Key Products and Offerings for End Consumers
- The Role of Technology (Pre-AI)
- Key Trends Shaping the Future of FSI and Fintech
- A Global Fintech Overview
- Influential Technologies used in Fintech
- How Big Data, AI and Blockchain are changing Finance
- AI in Fintech
- Technology Adoption
- Case Study Discussion: Shri Ram Temple - A Fintech Solution for Large Scale Projects
- Supervised vs Unsupervised Learning Concepts and Examples
- Various Regression, Classification and Clustering Models
- Applications in Finance
- Model Selection and Performance
- Metrics for Finance Applications
- Risk Modeling with Machine Learning
- Hands-on: Implementing ML models with Python (Scikit-learn) and other frameworks
- Walking through an example with Analysis and Interpretation
- Some sample problems for Practice and Interpretation
- Some problems/datasets that need to be solved/analysed
- Exercises for mastering the concepts
- Neural Networks Basics
- Deep Learning (DL) Overview
- Risk Modeling with Neural Networks
- Implementing DL Models with Python
- Adapting Pre-trained Models for Applications
- Fine-tuning Pre-trained Models
- Setting GPU environments and other dependencies
- Walking through an example with Analysis and Interpretation
- Some sample problems for Practice and Interpretation
- Some problems/datasets that need to be solved/analysed
- Exercises for mastering the concepts
- Introduction to NLP and Transformers
- Popular transformers shaping the Fintech landscape like BERT, GPT, LLAMA among others
- Introduction to AI-powered Financial Assistants
- Types of AI-powered Financial Assistants
- Automating report generation with AI, AI-powered Due Diligence in M&A
- A futuristic tour of Fintech to FinAI
- Overview of NLP and its Applications in Finance
- Key NLP Techniques: Tokenization, Stemming, Lemmatization, Stopword Removal
- Word Embeddings (Word2Vec, GloVe, FastText)
- Introduction to Financial Text Data (Earnings Calls, News, SEC Filings)
- Sentiment Analysis: Lexicon-based vs ML-based approaches
- Fine-tuning Transformer Models (BERT, FinBERT) for Financial Sentiment
- Evaluating Sentiment Models (Accuracy, F1-Score)
- Evolution of Digital Transactions and Rise of Decentralized Finance (DeFi)
- Introduction to Blockchain: Definitions, Core Concepts
- Distributed Ledger Technology (DLT) and its Types
- Key Features of Blockchain: Immutability, Transparency, Consensus Mechanisms
- Blockchain vs Traditional Database
- Overview of Mining and Hash Functions
- Use cases of Blockchain in Financial Services (Payments, KYC, Cross-border Settlements)
- Cryptocurrency Basics: Bitcoin, Ethereum, Altcoins
- Crypto Wallets and Exchanges
- Regulatory Landscape in India and Globally
- Risks: Volatility, Frauds, Regulatory Uncertainty
- Emerging Trends: CBDCs, NFTs, Tokenization of Assets
- Real-world Applications in Banking, Lending, and Trading Platforms
- Wealth/Investment Management and use of AI
- Robo Advisors and Financial Inclusion
- Business Model Canvas
- Value Proposition Canvas
- Platform Business Model Canvas
- Introduction to AI in Risk Management
- Anomaly Detection Techniques
- AI-driven Credit Scoring Models
- Anti-money Laundering (AML) with AI
- Hands-on: Building a Fraud Detection Model
- Industry Trends and Future of AI in Risk Management
- Introduction to AI-assisted Development ("Vibe Coding")
- Overview of Popular AI Coding Assistants
- Prompt Engineering for Code and Replit Platform
- Rapid Prototyping with Replit
- What is Fintech Regulation and Why it matters
- Regulatory Objectives: Consumer Protection, Risk Management, AML, KYC
- Role of RBI, SEBI, IRDAI, and MeitY in India
- Key Policies and Guidelines: RBI Digital Lending Guidelines; UPI Framework; Data Protection Bill (India); FATF Guidelines on Crypto
- Challenges in Regulating Emerging Tech: AI, Crypto, and BNPL
- What is RegTech? How AI is Transforming Compliance
- Examples of AI in Regulatory Reporting (KYC/AML Automation, Fraud Detection)
- Case Study: How banks use AI to detect suspicious patterns
- Explainable AI and Regulatory Audits
- Bias, Fairness, and Compliance in AI Models
- Overview of Tools used in AI-powered RegTech
- Regulatory Risks with AI Models: Model Drift, Hallucination, Explainability
- The Business Challenge in Credit Underwriting
- Why AI for Underwriting
- Data Acquisition and Understanding
- Data Preparation and Feature Engineering
- Leveraging ML, GenAI, Heuristics
- Model Training, Validation, and Performance
- Deployment Strategy and Integration
- Ensuring Responsible AI in Lending
- Measuring Business Impact
- Challenges, Lessons learned and Future scope
Certificate Eligibility Criteria
Learners will be awarded a co-branded certificate upon successful completion of the programme. The course evaluation component is based on the quizzes and assignments.
- Certificate of Participation (CoP): If a learner has scored less than 40% in the course evaluation criteria, then a CoP will be awarded.
- Certificate of Achievement (CoA): If a learner has scored more than or equal to 40% in the course evaluation criteria, then a CoA will be awarded.
- Certificate of Excellence (CoE): If a learner is amongst the top 10% achievers, then a CoE will be awarded, in addition to the CoA.
Meet the Mentor(s)
Dr. Deepak Sharma
Associate Faculty of School of Business and Professor, Department of Mechanical Engineering, IIT Guwahati
Dr. Deepak Sharma is the course coordinator for this certificate programme. He is a Professor at the Department of Mechanical Engineering and Associate Faculty at the School of Business, Indian Institute of Technology Guwahati, India.
Read More
Dr. Mousumi Bhattacharya
Associate Professor - Finance and Control, IIM Shillong
Dr. Mousumi Bhattacharya is an Associate Professor in Finance whose research interest spans across the field of Fintech and Financial Services, Mergers and Acquisitions, Corporate Restructurings, Corporate Finance, Business Valuation, Corporate Governance, Earnings Management,...
Read More
Dr. Chiranjib Sur
Assistant Professor, Mehta School of Data Science and Artificial Intelligence and Associate Faculty, School of Business, IIT Guwahati
Dr. Chiranjib Sur works on various applications of AI in Natural Language Processing (NLP), Computer Vision, Automation, and Healthcare Informatics...
Read More
Dr. Gaurav Kumar
Assistant Professor Grade-I, NIT Jalandhar, Punjab
Dr. Gaurav Kumar has completed his post-doctoral research in the area of Financial Data Analytics at University College Dublin (UCD), Ireland. He has obtained his PhD degree from IIT Kharagpur and an MBA degree from the Indian Institute of Foreign Trade (IIFT), Delhi...
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Vaibhav Dobriyal
Co-founder and Chief Product Officer, LUMIQ (lumiq.ai)
Vaibhav Dobriyal is the Co-Founder and Chief Product Officer of LUMIQ, a pioneering FSI Data and AI Specialist committed to building innovative solutions in the realm of Modern Financial Enterprises. He is an alumnus of the Indian Institute of Technology (IIT),...
Read More
Ankur Chauhan
Product Evangelist, LUMIQ (lumiq.ai)
Ankur Chauhan is a Product Evangelist associated with LUMIQ. He is currently responsible for managing the roadmap and implementing the LiteCone platform and AI Knowledge workers being deployed by LUMIQ across FSI. He has close to a decade of experience in Data Science and remains focussed...
Read More
Sumit Kumar Jha
Co-founder and Director, Elint Data Pvt. Ltd.
Sumit Kumar Jha is building AI at Elint. He is an experienced industry leader with a demonstrated history of working in Deep Tech Industry. He is skilled in leading and inspiring Data Science AI and Tech team. He loves high-performance Data Centers and Deep Tech (Crypto, Quantum, Cybersecurity,...
Read More
Kushagra Agarwal
Director, EdTech
With over 22 years of experience in technology leadership, Kushagra Agarwal has managed large-scale projects and teams for global organisations, including Deutsche Bank, Amazon, and Microsoft. He is a Director at Software/EdTech company since 2017, he has led the company’s growth...
Read MoreFAQs
Please take a look at the most frequently asked questions; you might have your query answered here.
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The course has been meticulously designed for both Freshers/Individuals pursuing Bachelor's/Master's degree and working professionals, with more emphasis on hands-on experience and practical exposure to cutting-edge AI and Fintech tools and technologies. The learners will get access to live lectures, hands-on implementation, assignments, quizzes, industry use cases and mentorship of renowned industry experts and IIT Guwahati faculty members.
Dr. Deepak Sharma
Associate Faculty of School of Business and Professor, Department of Mechanical Engineering, IIT Guwahati
Dr. Deepak Sharma is the course coordinator for this certificate programme. He is a Professor at the Department of Mechanical Engineering and Associate Faculty at the School of Business, Indian Institute of Technology Guwahati, India.
Prior to joining IIT Guwahati, he has worked with many international research teams such as the Department of Business Technology, Helsinki School of Economics, Finland; Department of Computer Science, Université de Strasbourg, France; Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore, and Department of Computer Science and Information Technology, Karlsruhe Institute of Technology (KIT), Germany.
He was a visiting faculty at Industrial System Engineering, Asian Institute of Technology (AIT), Bangkok, Thailand, for a semester in 2015. He has continuously been involved in many sponsored and consultancy projects from SERB, DST, and the Ministry of Heavy Industries and Public Enterprises.
He regularly organises management development programmes for executives and managers of the centre and state level public sector. He has published more than 70 research articles in journals and conferences of high repute. His research interests include optimization and soft computing techniques, and operations management.
Dr. Mousumi Bhattacharya
Associate Professor - Finance and Control, IIM Shillong
Dr. Mousumi Bhattacharya is an Associate Professor in Finance whose research interest spans across the field of Fintech and Financial Services, Mergers and Acquisitions, Corporate Restructurings, Corporate Finance, Business Valuation, Corporate Governance, Earnings Management, Banking and Financial Econometrics.
She has more than 50 scholarly research publications in peer-reviewed journals. She served on the Jury for the 14th Aegis Graham Bell Award 2024, assessing breakthroughs in the Banking and Finance category.
Dr. Chiranjib Sur
Assistant Professor, Mehta School of Data Science and Artificial Intelligence and Associate Faculty, School of Business, IIT Guwahati
Dr. Chiranjib Sur works on various applications of AI in Natural Language Processing (NLP), Computer Vision, Automation, and Healthcare Informatics. He has worked at GE Healthcare and Microsoft in California before joining IIT Guwahati in 2023.
Dr. Gaurav Kumar
Assistant Professor Grade-I, NIT Jalandhar, Punjab
Dr. Gaurav Kumar has completed his post-doctoral research in the area of Financial Data Analytics at University College Dublin (UCD), Ireland. He has obtained his PhD degree from IIT Kharagpur and an MBA degree from the Indian Institute of Foreign Trade (IIFT), Delhi.
He has studied the liquidity of midcap stocks as an area of research for his doctoral thesis. He holds an Engineering degree in Computer Science from the National Institute of Technology (NIT), Allahabad.
Vaibhav Dobriyal
Co-founder and Chief Product Officer, LUMIQ (lumiq.ai)
Vaibhav Dobriyal is the Co-Founder and Chief Product Officer of LUMIQ, a pioneering FSI Data and AI Specialist committed to building innovative solutions in the realm of Modern Financial Enterprises.
He is an alumnus of the Indian Institute of Technology (IIT), Kanpur and his journey is marked by expertise in two pivotal domains - academic research and, building and implementing products, cultivated through years of dedicated learning and hands-on experience. He has achieved remarkable success on a global scale, orchestrating and delivering multi-million-dollar product initiatives across diverse regions.
From the dynamic markets of Europe and the Middle East to the vibrant landscapes of Australia, Southeast Asia, and the United States of America, his strategic vision and leadership have consistently driven impactful results. He has an unwavering commitment to excellence and dedication to advancing the frontiers of Data and AI.
Ankur Chauhan
Product Evangelist, LUMIQ (lumiq.ai)
Ankur Chauhan is a Product Evangelist associated with LUMIQ. He is currently responsible for managing the roadmap and implementing the LiteCone platform and AI Knowledge workers being deployed by LUMIQ across FSI.
He has close to a decade of experience in Data Science and remains focussed on real-world applications of AI in FSI.
Earlier in his career journey, he has delivered multiple projects across the globe and delivered tangible business value using AI for banks, lenders, and insurance companies. His current work area involves enabling Agentic Enterprise for Financial Services. Post completing his Engineering Degree in Computer Science, he started his career with LUMIQ as a Data Scientist and in the past was also associated with HyperVerge.
Sumit Kumar Jha
Co-founder and Director, Elint Data Pvt. Ltd.
Sumit Kumar Jha is building AI at Elint. He is an experienced industry leader with a demonstrated history of working in Deep Tech Industry. He is skilled in leading and inspiring Data Science AI and Tech team.
He loves high-performance Data Centers and Deep Tech (Crypto, Quantum, Cybersecurity, AI safety platforms and products).
He has strong Research Credentials in NLP, LLMs, PINN - Physics Informed Neural Nets, and AI/ML on High Frequency Financial Data. He is also visiting faculty at IIT's, IIM's and SPJIMR. He has done his B.Tech and M.Tech from IIT Kharagpur.
Kushagra Agarwal
Director, EdTech
With over 22 years of experience in technology leadership, Kushagra Agarwal has managed large-scale projects and teams for global organisations, including Deutsche Bank, Amazon, and Microsoft.
He is a Director at Software/EdTech company since 2017, he has led the company’s growth and strategic initiatives, focusing on development and revenue generation. His expertise spans cloud, AI/ML, and financial services, alongside managing budgets, vendor engagements, and risk management.
With a strong foundation in governance and innovation, he is well-equipped to contribute as an independent director, driving growth, strategic oversight, and operational excellence.