
92% Booked
Registration Closed
This course is designed for professionals in finance, tech, and security, providing a comprehensive overview of AI’s role in combating fraud. Each day consists of a 90-minute session (60 minutes of lecture/discussion + 30 minutes of lab assessment). Sessions assume basic knowledge of banking and tech; no advanced coding required, but labs use accessible tools like Python notebooks or simulation platforms (e.g., via Google Colab or pre-set environments). Labs include assessments via quizzes, practical exercises, and self-evaluations to reinforce learning.
The aim of this workshop is to equip professionals with the knowledge and skills to leverage AI in preventing fraud within the FinTech and banking sectors, focusing on practical tools, ethical considerations, and emerging trends.
FraudShield AI Lab is a hands-on learning platform for the βAI in Fraud Preventionβ workshop. It lets participants experiment with AI-powered tools for transaction anomaly detection, phishing classification, identity verification, and voice biometrics, while following a structured curriculum supported by an AI tutor. Through interactive quizzes, real-world challenges, and rich visualizations (including 3D transaction network graphs), financial professionals, security analysts, developers, and students can build practical skills to design more secure, AI-driven financial systems.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
This workshop is intended for professionals in the finance, technology, and security sectors, including those involved in fraud prevention, risk management, and AI implementation. A basic understanding of banking and technology is recommended, but no advanced coding skills are required.
12/02/2025
IST 6 PM
12/02/2025 β 12/06/2025
IST 7 PM
Hands-on experience with AI tools for fraud prevention.
In-depth understanding of fraud risks in FinTech and banking.
Practical application of AI models in real-world scenarios.
Knowledge of AI ethics and regulatory compliance.
Career-ready skills for roles in financial security and AI.
Ability to design innovative fraud prevention strategies.
βΉ4999 | $149
βΉ5999 | $199
βΉ6999 | $249
βΉ7999 | $349
Take your research to the next level with NanoSchool.
Get published in a prestigious open-access journal.
Become part of an elite research community.
Connect with global researchers and mentors.
Worth βΉ20,000 / $1,000 in academic value.
We’re here for you!
Instant Access
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.