AI in Finance (FinTech Essentials)
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Understand AI Fundamentals
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Identify Business Opportunities
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Plan & Execute Projects
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Evaluate Impact & Ethics
60 Hours
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Beginner level
No Prior Knowledge Required
Flexible Learning
Available in Online, Offline, and
Hybrid Modes
60 Hours
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Program Overview
A professional certificate / executive programme that prepares finance, analytics, and IT professionals with knowledge and hands-on skills at the intersection of Artificial Intelligence and Financial Services (FinTech). It covers AI / ML, Generative AI, blockchain/crypto, risk management, digital payments, and regulatory tech, to help participants lead or contribute to innovation in finance.
Key Features
Duration: ~3 to 4 months (or ~18 weeks, depending on the program)
Live / interactive sessions with case studies, hands-on labs & projects
Designed by reputed institutions with both academic & industry experts
Flexible content delivery: asynchronous modules + optional networking / on-campus immersion
Focus on real-world FinTech use cases: credit risk, fraud detection, digital payments, wealth management
Certification awarded upon completion of assessments & project
Skills Covered
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Fundamentals of FinTech: financial services, insurance, digital payments, blockchain
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ML & DL applications in finance (credit scoring, forecasting, risk modeling)
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Generative AI & NLP for finance (automated reports, chatbots, financial document analysis)
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AI in risk management, fraud detection, AML/KYC, compliance tools
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RegTech, ethics, governance, and responsible AI use in finance
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Tools & frameworks for financial data analysis, ML deployment, and evaluation
Course Curriculum
Foundations of FinTech & AI
Module 1 • 10 hour to complete
Module 1 • 10 hour to complete
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Overview of financial services, insurance, digital banking & payments
• Introduction to AI/ML in financial contexts
• Blockchain, cryptocurrencies, and digital assets
• Introduction to AI/ML in financial contexts
• Blockchain, cryptocurrencies, and digital assets
Machine Learning & Deep Learning in Finance
Module 2 • 10 hour to complete
Module 2 • 10 hour to complete
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Credit scoring & loan default prediction
• Forecasting asset prices & volatility
• Risk modeling & portfolio optimization
• Forecasting asset prices & volatility
• Risk modeling & portfolio optimization
Generative AI & NLP in Finance
Module 3 • 10 hour to complete
Module 3 • 10 hour to complete
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AI for automated financial reporting and analysis
• Chatbots & conversational AI for banking
• NLP for contracts, filings, and compliance documents
• Chatbots & conversational AI for banking
• NLP for contracts, filings, and compliance documents
Risk Management, Fraud Detection & Compliance
Module 4 • 10 hour to complete
Module 4 • 10 hour to complete
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AI-driven fraud detection & anomaly detection
• Anti-money laundering (AML) & Know Your Customer (KYC)
• Risk management frameworks and governance
• Anti-money laundering (AML) & Know Your Customer (KYC)
• Risk management frameworks and governance
RegTech & Responsible AI in Finance
Module 5 • 10 hour to complete
Module 5 • 10 hour to complete
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AI for compliance automation & monitoring
• Data privacy, ethics, and regulatory challenges
• Transparency, explainability, and auditability of models
• Data privacy, ethics, and regulatory challenges
• Transparency, explainability, and auditability of models
Tools & Platforms
Module 6 • 10 hour to complete
Module 6 • 10 hour to complete
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Python, scikit-learn, pandas, numpy for financial ML
• APIs and cloud tools for finance AI deployment
• Blockchain platforms for finance use cases
• APIs and cloud tools for finance AI deployment
• Blockchain platforms for finance use cases
Capstone Project
Module 7 • 10 hour to complete
Module 7 • 10 hour to complete
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End-to-end project: choose a FinTech use case (credit risk, fraud detection, financial chatbot, or blockchain prototype)
• Deliverable includes data analysis, model, deployment plan, and business impact presentation
• Deliverable includes data analysis, model, deployment plan, and business impact presentation
Tools & Technologies
Completion Certificate
Job Role
- FinTech / AI-Driven Product Analyst
- AI / ML Engineer in Finance & Banking
- Data Scientist (BFSI domain)
- Risk Analytics Specialist
- Fraud Detection / Compliance Analyst
- Blockchain / Crypto Product Developer
- AI in Wealth / Portfolio Management Specialist
- RegTech / AI Governance Specialist
Training Option
OFFLINE
₹7777
- 24/7 support
- 24/7 support
- 24/7 support
ONLINE
₹5555
- 24/7 support
- 24/7 support
- 24/7 support
HYBRID
₹6666
- 24/7 support
- 24/7 support
- 24/7 support
Why Join this Program
Earn a job
Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.
Leverage knowledge from industry experts
Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.
Industry-relevant Tools & Practical Learning
Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.
Structured, industry-vetted curriculum
A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.
Integrated with Gen AI Modules
The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.
Interview preparation & Placement assistance
Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.
FAQ
Basic Python is enough; we cover everything from scratch.
No — this course teaches ML fundamentals too.
Absolutely — this is designed for career transition.
You’ll need to put in extra effort, but many succeed.
Yes — the curriculum includes real-world LLM integration.
Yes — including techniques used by AI professionals.