AI-Powered Detection & Response: Automate threat triage, anomaly detection, phishing analysis, and SOC workflows using P
Sub Category
- Network & Security
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Objectives
- Explain how AI and machine learning integrate into cybersecurity workflows and set up Python environments with AI API integrations for security automation.
- Build automated threat detection systems for phishing, network anomalies, malware classification, and IOC extraction using Python, ML, and LLMs.
- Create automated incident response pipelines that perform alert enrichment, investigation, containment, and ticketing using Python and AI-assisted analysis.
- Design and deploy production-ready AI security automation using playbooks, RAG-based knowledge retrieval, event-driven architectures, and defenses against adver
Pre Requisites
- Basic Python programming knowledge, fundamental understanding of cybersecurity concepts (SIEM, logs, threats), familiarity with command-line interfaces, and access to a computer with Python 3.8+ installed
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)