Course Overview

Course Overview Telecom networks generate massive operational and security data across RAN, Core, IP, cloud, and OSS/BSS systems. Traditional security monitoring cannot handle this scale or detect sophisticated attacks in real time. AI-driven threat detection and security analytics enable proactive monitoring, anomaly detection, and predictive incident response. This course provides a comprehensive understanding of AI-powered security analytics, covering threat intelligence, anomaly detection, predictive security, operational dashboards, and governance considerations. Participants will learn to leverage AI to detect, analyze, and mitigate threats while ensuring transparency and compliance.

Upcoming Trainings

Mar 23, 2026

Dubai, United Arab Emirates

Apr 6, 2026

Abu Dhabi, United Arab Emirates

Apr 20, 2026

Riyadh, Saudi Arabia

May 4, 2026

Jeddah, Saudi Arabia

Target Audience

  • Telecom network security teams (SOC, NOC, security ops)
  • Government and regulatory authorities
  • Critical infrastructure protection teams
  • Security architects and analysts
  • AI/analytics leads in telecom
  • Technical consultants and auditors

Prerequisites

  • Basic understanding of: Telecom networks (2G–5G overview), Security concepts (CIA triad, threat landscape)
  • Familiarity with: Basic data analytics or dashboards (helpful)
  • No prior AI/ML programming experience required
Course Outline

Day-wise Course Outline