Machine Learning for Network Analytics & Predictive Operations

Course Overview

Modern telecom networks generate massive volumes of data from RAN, core, transport, OSS/BSS, and customer experience systems. Traditional rule-based monitoring is no longer sufficient to manage network complexity, scale, and service expectations. This course provides a hands-on, application-oriented introduction to Machine Learning (ML) for network analytics and predictive operations. Participants will learn how ML models are used to detect anomalies, predict faults, forecast demand, and support proactive network operations, enabling the transition toward AIOps and self-healing networks.