Computer Science Engineering

Description

• Introduction to AI and Machine Learning in Financial Security
• Cybersecurity Fundamentals: Policies, Procedures, and Practices
• Fraud detection with supervised learning models (e.g., logistic regression, SVM)
• Integrating AI-Based Fraud Detection into Existing Financial Systems
• Real-Time Fraud Detection Using Anomaly Detection and Classification Models
• Case studies and problem-solving using AI techniques for fraud detection
• Hands on session on Deep Learning for Fraud Detection: Building and Training Neural Networks.

Hands on sessions on implementation of AI algorithms using python

• Introduction to AI and Machine Learning in Financial Security
• Cybersecurity Fundamentals: Policies, Procedures, and Practices
• Fraud detection with supervised learning models (e.g., logistic regression, SVM)
• Integrating AI-Based Fraud Detection into Existing Financial Systems
• Real-Time Fraud Detection Using Anomaly Detection and Classification Models
• Case studies and problem-solving using AI techniques for fraud detection
• Hands on session on Deep Learning for Fraud Detection: Building and Training Neural Networks.

Hands on sessions on implementation of AI algorithms using python