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AI for Fraud Detection in BFSI: Navigating Financial Integrity
Ensuring Financial Integrity with AI-Powered Fraud Detection
Enroll now for early access of e-LMS
Online/ e-LMS
Self Paced
Moderate
8 Weeks
About
This course aims to equip participants with advanced knowledge and skills in utilizing artificial intelligence to detect and prevent fraud within the Banking, Financial Services, and Insurance (BFSI) sector, focusing on practical applications and cutting-edge technologies.
Aim
This course aims to equip participants with advanced knowledge and skills in utilizing artificial intelligence to detect and prevent fraud within the Banking, Financial Services, and Insurance (BFSI) sector, focusing on practical applications and cutting-edge technologies.
Program Objectives
- Understand the fundamentals and advanced concepts of AI as they apply to fraud detection.
- Analyze various types of financial fraud and the role of AI in combating these activities.
- Develop hands-on skills in data handling, machine learning models, and AI strategies specific to fraud detection.
- Explore the ethical and regulatory aspects of using AI in financial environments.
Program Structure
MODULE 1 : Introduction to AI and Fraud Detection
- Basics of AI in BFSI.
- Types and impacts of financial fraud.
- Evolution of fraud detection technologies.
MODULE 2 : Mastering Data Handling & Preprocessing for AI in BFSI
- Data collection and preprocessing techniques.
- Feature engineering and data quality’s impact on fraud detection.
- Practical exercises on real financial datasets.
MODULE 3 : Machine Learning Models for Fraud Detection
- Application of supervised learning models like decision trees and logistic regression.
- Advanced models including random forests and gradient boosting machines.
- Building, training, and evaluating models for fraud detection.
MODULE 4 : Deep Learning and NLP for Fraud Detection
- Using neural networks and NLP to detect complex fraud patterns.
- Practical application of deep learning in real-world fraud detection.
- Integration of NLP techniques into fraud detection projects.
MODULE 5 : Anomaly Detection and Behavioral Biometrics
- Techniques for identifying anomalies and behavioral patterns.
- Application of behavioral biometrics in fraud prevention.
- Hands-on case studies and project work on anomaly detection.
MODULE 6 : AI in Fraud Detection: Case Studies and Regulatory Compliance
- Examination of real-world applications and case studies.
- Navigating legal and ethical considerations.
- Regulatory compliance affecting AI fraud detection systems.
MODULE 7 : Developing an AI Fraud Detection Strategy
- Strategic considerations for implementing AI in fraud prevention.
- Emerging technologies in AI fraud detection.
- Design and implementation of AI strategies in financial institutions.
Participant’s Eligibility
This course is intended for professionals and students in the BFSI sector seeking to enhance their expertise in AI-driven fraud detection and financial integrity.
Program Outcomes
- Mastery of AI technologies for detecting and preventing fraud in BFSI.
- Practical experience in applying AI to real-world fraud detection scenarios.
- Enhanced understanding of the regulatory and ethical frameworks governing AI use in finance.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Job Opportunities
- Fraud Analyst,
- AI Risk Specialist,
- Data Scientist,
- Compliance Officer, and
- Technology Solutions Architect within financial institutions.
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
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