Ementorhub

What you'll learn

Understand various types of malware and apply foundational analysis techniques to effectively detect and classify them.

Implement advanced machine learning algorithms, including clustering and decision trees, for efficient malware detection.

Explore anomaly detection techniques using botnet data and learn how to analyze network traffic for unusual patterns.

Collaborate and present research findings on current trends in network anomaly detection, enhancing communication and analytical skills.

Skills you'll gain

Supervised Learning

Threat Detection

Machine Learning Methods

Network Analysis

System Design and Implementation

Network Security

Malware Protection

Cybersecurity

Machine Learning Algorithms

Intrusion Detection and Prevention

Machine Learning

Continuous Monitoring

Machine Learning Software

Anomaly Detection

Microsoft Windows

Performance Testing

There are 4 modules in this course

What sets this course apart is its emphasis on practical, project-based learning. By applying your knowledge through hands-on implementations and collaborative presentations, you will develop a robust skill set that is highly relevant in today’s cybersecurity landscape. Completing this course will prepare you to effectively identify and mitigate threats, making you a valuable asset in any cybersecurity role. With the rapid evolution of cyber threats, this course ensures you stay ahead by leveraging the power of AI for robust cybersecurity measures.

Malware Threats Detection Part 1

Malware Threats Detection Part 2

Network Anomaly Detection with AI