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Oreilly – Machine Learning and AI in Cybersecurity 2025-3

Updated August 10, 2026 489 MB
Oreilly – Machine Learning and AI in Cybersecurity 2025-3

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Description

Machine Learning and AI in Cybersecurity. This course explores how machine learning and artificial intelligence technologies can be used to identify and combat cyber threats. This course provides a practical approach to integrating AI-based solutions into security frameworks. Topics begin with the basics of machine learning and Python programming, and then move on to building, analyzing, and optimizing machine learning models for cybersecurity applications. Topics covered include neural networks, clustering techniques, and self-organizing maps, with practical examples such as intrusion detection systems, malware countermeasures, log analysis, and vulnerability management. This course is taught by Dr. Chuck Eastum, a leading cybersecurity expert and holder of 26 patents, and is designed for cybersecurity professionals, software developers, and IT professionals. By completing this course, participants will gain the knowledge and tools necessary to effectively use artificial intelligence to increase the security of digital environments. Prerequisites for this course include familiarity with basic cybersecurity concepts and a basic understanding of the Python language, the introductory concepts of which will be reviewed throughout the course.

What you will learn

  • Machine learning algorithms:
  • How to write and implement common machine learning algorithms.
  • How to optimize and analyze machine learning models for cybersecurity applications.
  • Application of artificial intelligence in security:
  • How to apply AI to real-world cybersecurity challenges such as intrusion detection and malware analysis.
  • Introduction to Neural Networks, Clustering Techniques, and Self-Organizing Maps.

This course is suitable for people who:

  • Cybersecurity professionals looking to integrate machine learning into their security operations.
  • Software developers working in the fields of artificial intelligence (AI), cybersecurity, or IT security.
  • IT personnel interested in AI-based security solutions.
  • Machine learning activists who are exploring cybersecurity applications.

Machine Learning and AI in Cybersecurity Course Details

  • Publisher:  Oreilly
  • Instructor: Chuck Easttom
  • Education level: Intermediate
  • Training duration: 3 hours and 8 minutes

Course headings

Machine Learning and AI in Cybersecurity

Course images

Machine Learning and AI in Cybersecurity

Sample course video

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