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Artificial Intelligence Free Course with Certificate

AI for Fraud Detection in BFSI: Navigating Financial Integrity Course

Original price was: INR ₹10,998.00.Current price is: INR ₹5,499.00.

Course Overview

This 8-week course is designed 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. The course focuses on practical applications and cutting-edge technologies, offering a comprehensive understanding of how AI can be leveraged to enhance financial integrity.

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AI for Fraud Detection in BFSI: Navigating Financial Integrity
Ensuring Financial Integrity with AI-Powered Fraud Detection

Course Overview

This 8-week course is designed 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. The course focuses on practical applications and cutting-edge technologies, offering a comprehensive understanding of how AI can be leveraged to enhance financial integrity.

Course Goals

The primary aim of this course is to provide participants with the expertise needed to use AI for detecting and preventing fraud in the BFSI sector. By focusing on practical applications and the latest technologies, the course prepares participants to address complex financial fraud challenges effectively.

Program Objectives

  • Understand AI in Fraud Detection: Grasp both fundamental and advanced AI concepts as they apply to fraud detection in the BFSI sector.
  • Analyze Financial Fraud: Explore various types of financial fraud and understand the role AI plays in combating these activities.
  • Develop Hands-On Skills: Gain practical experience in data handling, machine learning models, and AI strategies specific to fraud detection.
  • Navigate Ethical and Regulatory Aspects: Learn about the ethical and regulatory considerations involved in 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 its 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

Eligibility

  • Professionals and Students in the BFSI Sector: This course is intended for those who seek to enhance their expertise in AI-driven fraud detection and financial integrity.

Learning Outcomes

  • Mastery of AI Technologies: Develop expertise in using AI to detect and prevent fraud in the BFSI sector.
  • Practical Application: Gain hands-on experience in applying AI to real-world fraud detection scenarios.
  • Regulatory and Ethical Understanding: Enhance your understanding of the regulatory and ethical frameworks governing the use of AI in finance.

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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