How to become a Telecom AI & Automation Engineer
Put AI where it actually pays in a network — forecasting, anomaly detection, and the analytics the core already exposes.
Who takes this route
Working telecom engineers in operations, core, RAN, NOC or planning who are being asked about AI.
The route
2 courses, in this order — 13 modules, about 7.1 hours of video, hands-on labs throughout, and a graded exam at the end of each.
Place 5G in the real world and draw the whole system from memory — architecture, SBA, radio, and the power-on-to-first-packet journey. No prior telecom knowledge assumed.
7 modules~3.3h videoCertificate exam → TELCOMA 5G Foundation (week 4)GenAI and machine learning for network operations — where AI already runs in your network, the methods that actually work on telecom data, the 5G core's own analytics function, and how to choose a first deployment that cannot hurt you.
6 modules~3.8h videoCertificate exam → TELCOMA Telecom AI SpecialistBefore this: Recommended: 5G Foundation — or the free placement check
What you can do at the end
Tell where a model helps from where a threshold is enough; read what NWDAF exposes and use it; take a closed-loop use case from idea to a first deployment that cannot hurt you.
What you earn
2 verifiable TELCOMA certificates — one for each course, issued only after you pass its graded exam. Each carries a number and a QR code to a public verification page an employer can open without an account.
- TELCOMA 5G Foundation
- TELCOMA Telecom AI Specialist
Start where the route starts
The first lesson of 5G Foundation plays with no account and no card. The whole first module is free once you sign in.
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