AI for Cybersecurity: Threat Detection and SOC Automation
Course content
Course overview
This course on “AI for Cybersecurity: Threat Detection and SOC Automation” connects essential concepts to practical applications. It helps you build a structured understanding of the subject and choose an approach suited to the situations covered.
Skills and topics covered
• security data analysis
• anomaly detection with machine learning
• SOC workflow automation
• alert evaluation and incident response
Who is this course for?
Security analysts, developers and technical professionals who want to study AI system security.
Prerequisites
Foundations in cybersecurity, networking and Python are recommended. Exercises use authorized learning environments.
How you will learn
Work through step-by-step scenarios: prepare the environment, perform a configuration or test, observe behavior and document the result. The goal is to connect technical choices to the problems they address.
After completing the course
You will be able to describe the components, carry out the main operations and interpret a similar scenario. You will know how to organize checks and present your observations.
Course content
The detailed programme will be published soon.
About the author
AI Skills Academy teaching team
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Refund terms: confirm with the centre.
Totals include a base declared by the training center.