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PickAClass · AI Applications (Interdisciplinary) · AI for Cybersecurity

AI-Driven Malware Analysis

Leverage AI techniques to automatically classify and analyze malware, developing models to detect zero-day threats and polymorphic viruses that evade traditional signature-based detection.

12 courses

Understanding Malware and Modern Cyber Threats

Identify, differentiate, and defend against diverse digital threats, from classic viruses to modern ransomware, using foundational cybersecurity concepts.

Practical Malware Analysis: From Basics to Advanced Techniques

Develop the skills to safely isolate, analyze, and understand complex malware behaviors, helping you protect modern networks and build a strong cybersecurity foundation.

Malware Analysis Basics: A Beginner's Guide to Analyzing Threats

Learn how to safely isolate, analyze, and document malicious software to defend your organization against modern cybersecurity threats.

Malware Triage and Behavioral Analysis for Beginners

Learn the fundamentals of analyzing suspicious files, performing manual behavioral analysis, and safely utilizing automated sandboxes to evaluate security threats.

Evaluating Fraud Detection Models and Adversarial Dynamics

Learn to design robust fraud detection systems using cost-sensitive metrics, temporal evaluation, and proactive defenses against evolving adversarial tactics.

Designing Real-Time Fraud Detection and Monitoring Systems

Learn to build reliable, low-latency fraud detection pipelines and implement production monitoring to detect adversarial drift and maintain model accuracy.

Malware Analysis Fundamentals: Step-by-Step Security Techniques

Learn to safely dissect, analyze, and understand malicious software to protect your network and build a strong foundation in cybersecurity.

Understanding Malware and Network Defense Strategies

Learn to identify common malware types and implement modern network security practices to protect your systems from digital threats.

Memory Forensics for Malware Analysis: A Practical Introduction

Learn to capture and analyze volatile memory to detect hidden malware, identify malicious processes, and conduct digital investigations using Volatility.

AI-Driven Malware Analysis: How Machine Learning Sees Malicious Code

Build a clear understanding of how machine learning is used to detect, classify, and analyze malware beyond traditional signature-based approaches.

Designing a Malware Classification Pipeline with Static and Dynamic Features

Walk through the practical design of a malware classification pipeline that combines static features, dynamic behavior, and modern machine learning.

AI Malware Detection in the SOC: Operations, Alerts, and Analyst Workflow

Integrate AI-driven malware detection into a real security operations center workflow, with focus on alerts, analyst handoff, and continuous tuning.