Machine Learning and AI in Cybersecurity (Video Course)

Machine Learning and AI in Cybersecurity (Video Course)

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 3h 8m | 648 MB

Machine learning is revolutionizing cybersecurity, providing advanced tools for proactive threat detection and mitigation. Machine Learning and AI in Cybersecurity (Video Course) 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.

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

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 Machine Learning and AI in Cybersecurity (Video Course) provides the tools and knowledge to apply AI in securing digital environments.