March 2025
Intermediate
3h 8m
English
Closed Captioning available in English
Overview
Machine learning is revolutionizing cybersecurity, providing advanced tools for proactive threat detection and mitigation. Machine Learning and AI in Cybersecurity offers a hands-on approach to integrating AI-driven solutions into cybersecurity frameworks. Starting with a foundational understanding of machine learning and basic Python programming, learners will explore how to build, analyze, and optimize machine learning models tailored for cybersecurity applications. Topics include neural networks, clustering techniques, and self-organizing maps, with real-world use cases such as intrusion detection, anti-malware solutions, log analysis, and vulnerability management.
Led by Dr. Chuck Easttom, a leading cybersecurity expert and inventor with 26 patents, this course is ideal for professionals looking to enhance their cybersecurity skills through machine learning techniques. Whether you're a cybersecurity analyst, software developer, or IT professional, this course provides the tools and knowledge to apply AI in securing digital environments.
About the Instructor:
Dr. Chuck Easttom is a cybersecurity expert, researcher, and inventor with 42 published books and 26 patents. Holding multiple Ph.D.s and master’s degrees, he is a recognized leader in cybersecurity, machine learning, and cryptography. Dr. Easttom is a senior member of IEEE and ACM and currently teaches at Georgetown and Vanderbilt University.
Follow Dr. Easttom:
Skill Level
- Beginner
- Intermediate
Learn How To:
- Write and implement common machine learning algorithms
- Optimize and analyze machine learning models for cybersecurity applications
- Apply AI to real-world cybersecurity challenges such as intrusion detection and malware analysis
Course Requirements:
- Basic understanding of cybersecurity concepts
- Some familiarity with Python (introductory Python concepts will be covered)
Who Should Take This Course:
- Cybersecurity professionals looking to integrate machine learning into security operations
- Software developers working in AI, cybersecurity, or IT security
- IT personnel interested in AI-driven security solutions
- Machine learning practitioners exploring cybersecurity applications
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