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AI in Telecom

Credential Description
This course explores how AI is applied across modern telecom networks, from operations and radio to the core and fraud prevention. Participants learn AIOps techniques for anomaly detection and root cause analysis, AI-driven RAN optimisation, NWDAF analytics, and fraud detection for SIM swap, SIM box, and SS7 attacks. It also covers generative AI copilots, RAG, model limitations, EU AI Act governance, and build-versus-buy decisions, with a hands-on lab using real network data.
Earning Criteria
The recipient of this certificate has passed the exam at the end of the course.
Skills associated with this credential
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AI in Telecoms
This course explores how AI is applied across modern telecom networks, from operations and radio to the core and fraud prevention. Participants learn AIOps techniques for anomaly detection and root cause analysis, AI-driven RAN optimisation, NWDAF analytics, and fraud detection for SIM swap, SIM box, and SS7 attacks. It also covers generative AI copilots, RAG, model limitations, EU AI Act governance, and build-versus-buy decisions, with a hands-on lab using real network data.
CertificateImage
AI in Telecom
This course explores how AI is applied across modern telecom networks, from operations and radio to the core and fraud prevention. Participants learn AIOps techniques for anomaly detection and root cause analysis, AI-driven RAN optimisation, NWDAF analytics, and fraud detection for SIM swap, SIM box, and SS7 attacks. It also covers generative AI copilots, RAG, model limitations, EU AI Act governance, and build-versus-buy decisions, with a hands-on lab using real network data.