Udemy
Anomaly Detection: Machine Learning, Deep Learning, AutoML
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Disclosure: This course contains the use of artificial intelligence.
Security operations teams are overwhelmed — alert volumes are skyrocketing, threats are evolving, and analysts are burning out. AI is the solution. This course gives you the practical skills to bring AI into your SOC, starting today.
What You Will LearnAI-Powered Alert Triage — Automatically score, rank, and prioritize alerts so analysts focus only on what truly matters
Threat Intelligence Enrichment — Turn raw indicators into actionable intelligence instantly using AI-driven context and external threat feedsUEBA & Anomaly Detection — Detect insider threats and behavioral anomalies that traditional rule-based systems consistently miss
Every module is backed by a real-world case study drawn from actual security incidents
Hands-on lab integrating Claude Desktop with a local Splunk instance — step by step, on your own machine
Build a working AI-augmented SOC workflow you can demo, expand, or deploy
Structured for clarity — no fluff, no filler, just practical knowledge you can apply immediately
Learn by doing — not just watching
Who Should EnrollSOC analysts battling alert fatigue and looking to work smarter
Security engineers exploring AI-powered detection and response tooling
Cybersecurity students and career switchers who want hands-on, job-ready skillsIT professionals curious about how AI is reshaping modern security operationsAI is not replacing SOC analysts — it is making them dramatically more effective. This course shows you exactly how to be on the right side of that shift.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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