AI Network Operations Assistant
Build a carrier-grade AIOps system: correlate alarm storms to their root cause, predict outages, and draft RCAs with an agent behind a human approval gate.
Modules
6
Verified
0
In Progress
0
What you walk away with
- ✓A shareable portfolio URL with your project walkthrough
- ✓Module-by-module timeline of everything you built
- ✓All the code — pipelines, guardrails, deployment configs
- ✓Production patterns documented on your profile
A network operations center drowns in alarms — one fiber cut lights up hundreds. In this course you build an AI Network Operations Assistant end to end: ingest network topology, alarms, KPI time-series, and tickets; build a topology graph; correlate an alarm storm down to the single root-cause element; detect KPI degradations and predict outages from leading indicators; and ship an agent that assembles each incident, proposes a root cause and remediation runbook, and drafts the RCA behind a human approval gate — never auto-remediating — with a full audit trail. Detection is measured recall-first (capture every real incident) before cutting alarm noise. Ends as a NOC console plus a monitoring dashboard. Every module produces working code.