{"id":12074,"date":"2026-08-10T10:40:49","date_gmt":"2026-08-10T10:40:49","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/sans-sec595-applied-data-science-and-ai-machine-learning-for-cybersecurity-professionals-2022-6\/"},"modified":"2026-08-10T10:40:49","modified_gmt":"2026-08-10T10:40:49","slug":"sans-sec595-applied-data-science-and-ai-machine-learning-for-cybersecurity-professionals-2022-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/sans-sec595-applied-data-science-and-ai-machine-learning-for-cybersecurity-professionals-2022-6\/","title":{"rendered":"SANS \u2013 SEC595: Applied Data Science and AI\/Machine Learning for Cybersecurity Professionals 2022-6"},"content":{"rendered":"
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Description<\/span><\/h2>\n

SEC595: Applied Data Science and AI\/Machine Learning for Cybersecurity Professionals. This course teaches professionals the practical skills needed to design and build AI-based security solutions. Focusing on the practical application of machine learning in security, the course spends over seventy percent of its time conducting hands-on labs, transforming complex concepts into accessible tools. Rather than focusing on pure theory, participants will go directly to solving real-world security challenges using statistical models, probabilistic tools, and neural networks. They will acquire key skills such as mining, analyzing, and visualizing security data, building predictive models for threat detection, and implementing anomaly detection systems. The curriculum strikes an optimal balance between theoretical foundations and practical application, requiring only an intermediate knowledge of Python and basic mathematics. This course prepares professionals for the GMLE certification exam and teaches techniques that can be used immediately to improve security operations, incident response, and threat hunting within an organization.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n