Live Online :
Upgrade Your Skills & Empower Yourself
Join our AI Fraud Detection Course! Learn AI-powered fraud detection using machine learning, deep learning, anomaly detection, graph neural networks, real-time analytics, explainable AI, risk scoring, and modern techniques for financial security.
Build an AI system that identifies fraudulent credit card transactions using transaction history, customer behavior, transaction amount, location, time, and other behavioral features. Students will preprocess highly imbalanced data, engineer fraud-related features, train classification models such as Random Forest and XGBoost, and evaluate fraud detection performance using Precision, Recall, F1-score, and ROC-AUC.
Develop a real-time fraud detection system for online payment transactions. The project processes incoming transactions, generates risk scores, detects suspicious patterns, and triggers fraud alerts. Students will implement streaming-based processing, anomaly detection, machine learning inference, threshold optimization, and an API-based fraud detection service.
Create an advanced fraud detection solution that identifies relationships between customers, accounts, devices, merchants, and transactions. Students will construct transaction graphs, detect suspicious communities and connected patterns, and implement graph-based techniques such as Graph Neural Networks for identifying coordinated fraud and fraud rings.
Educate your workforce with new skills to improve their performance and productivity.
Our AI Fraud Detection Course provides practical knowledge of AI-powered fraud detection, covering machine learning, anomaly detection, transaction analysis, deep learning, graph-based detection, real-time monitoring, risk scoring, and explainable AI.
Machine Learning can identify patterns in large transaction datasets and help detect suspicious activities that may be difficult to identify using traditional rule-based systems.
Anomaly detection identifies transactions or behaviors that significantly differ from normal patterns, helping uncover potentially fraudulent activity.
Common algorithms include Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, Isolation Forest, and One-Class SVM.
Graph-based detection represents customers, accounts, devices, merchants, and transactions as connected entities to identify suspicious relationships and coordinated fraud patterns.
Models can be evaluated using Precision, Recall, F1-score, ROC-AUC, PR-AUC, false-positive rates, false-negative rates, and business-specific fraud detection metrics.
Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.
AI Fraud Detection offers careers as Fraud Detection Engineer, AI Engineer, Machine Learning Engineer, Risk Analyst, and Data Scientist, with salaries varying by experience, skills, location, organization, and industry.
Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.
You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.
Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.
We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.
Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.
Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.
We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.
Yes, we offer customisation of the syllabus for both individual candidates and corporate also.
Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.
Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.
In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.
We offer courses that help you improve your skills and find a job at your dream organisations.
Courses that are designed to give you top-quality skills and knowledge.
Upgrade Your Skills & Empower Yourself
