Udemy - Machine Learning for Cybersecurity - AI Threat Detection

Machine Learning for Cybersecurity: AI Threat Detection

https://WebToolTip.com

Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 44m | Size: 1.47 GB

Build dual ML models (Isolation Forest & Random Forest), a SOC risk engine, FastAPI REST API, and Streamlit dashboard

What you'll learn
Machine Learning for Cybersecurity: Build AI Threat Detection
Build an end-to-end, production-grade defensive cybersecurity threat detection system in Python from scratch
Train an Isolation Forest exclusively on benign network telemetry to detect novel zero-day attacks without contamination leakage
Train and evaluate a Random Forest classifier on labeled attack patterns (brute force, crypto mining, data exfiltration)
Build an interactive Security Operations Center (SOC) monitoring dashboard in Streamlit featuring real-time KPI metrics and severity triage filters
Verify pipeline integrity with a rigorous 41-test master pytest suite running against real trained models and golden attack fixtures

Requirements
Basic Python Familiarity
Zero Prior Machine Learning or Cybersecurity Knowledge Required
A Standard Computer (Windows, macOS, or Linux)