Machine Learning and Emerging Technologies in Cybersecurity

Instructor: Jason Crossland

Intermediate Level • 4 weeks to complete at 10 hours a week • Flexible Schedule

What You'll Learn

  • ✓Explore advanced machine learning techniques, including neural networks and clustering, for improved threat detection in cybersecurity.
  • ✓Understand the integration of machine learning algorithms into Intrusion Detection Systems (IDS) for enhanced security measures.
  • ✓Gain knowledge of The Onion Router (ToR) architecture and its applications, focusing on privacy and anonymous communication.
  • ✓Learn to utilize Security Onion tools for effective incident response within high-volume enterprise environments, enhancing cybersecurity strategy.

Skills You'll Gain

Network Security
Applied Machine Learning
Machine Learning Algorithms
Cybersecurity
Intrusion Detection and Prevention
Artificial Neural Networks
Computer Security Incident Management
Supervised Learning
Machine Learning
Threat Detection
Incident Response
Unsupervised Learning
Deep Learning

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

This course provides a comprehensive introduction to machine learning and data mining, covering key algorithms and tools like RapidMiner and Security Onion. Students will explore advanced topics such as neural networks, clustering, and support vector machines, while also learning to evaluate model performance through confusion matrices and ROC curves. Additionally, the course delves into ToR architecture, privacy concerns, and the practical installation of ToR clients. Emphasis will be placed on incident response within Computer Security Incident Response Teams (CSIRTs) and effective information-sharing practices. By the end of the course, participants will have a robust understanding of both machine learning techniques and their applications in cybersecurity.

The course delves deeper into specific approaches, including neural networks, clustering, and support vector machines (SVMs), providing students with a solid foundation in both the theory and practice of these advanced techniques.

This course explores the integration of Machine Learning (ML) algorithms into Intrusion Detection Systems (IDS) to enhance threat detection capabilities.

This course provides a comprehensive understanding of The Onion Router (ToR) architectures, focusing on the critical components that make up this secure and anonymous communication system.

This module explores the critical role of Intrusion Detection Systems (IDS) within Cyber Security Incident Response Teams (CSIRTs), particularly in high-volume enterprise environments.