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$20

AI Network Operations Assistant

Build a carrier-grade AIOps system: ingest network topology, alarms, and KPI time-series; build a topology graph; correlate an alarm storm down to its root-cause element; predict outages from leading indicators; and ship an agent that assembles each incident, proposes a root cause and remediation, and drafts the RCA behind a human approval gate — never auto-remediating. Recall-first: capture every real incident, then cut alarm noise.

"One fiber cut lit up 200 alarms — pinpoint the root cause and flag the sites about to go down"

6 Interactive Sessions

Short, interactive sessions — watch it work, steer it, then build it yourself. Go deeper anytime with the full code walkthrough.

  1. 1

    Ingest — one fault, two hundred alarms

    Before you can find a root cause, four feeds have to reconcile: what the network is, what it's screaming, how it's performing, and what changed on it.

  2. 2

    Topology — the map is the causal structure

    Build the network graph so that for any element you can answer two questions instantly: what depends on this, and what does this depend on?

  3. 3

    Correlate — recall is the floor, noise-cutting is the work

    Collapse the alarm storm into incidents, name the one element whose failure explains the rest, and cut the noise — but never before you've caught every real incident.

  4. 4

    Detect & Predict — the outage you can see coming

    Learn each element's normal, flag it when it degrades, and — from the leading indicators — predict the SLA breach before the link hard-fails, with enough lead-time to act.

  5. 5

    Triage Agent — it drafts, a human runs it

    Automate the gathering and the drafting so the engineer spends their minutes on judgment, and put a human gate in front of every remediation that never opens on its own.

  6. 6

    Deploy — a NOC someone can operate and audit

    Put a console on the pipeline, instrument it with the four numbers that define NOC health, and make every incident and every action reconstructable.

Production patterns you'll master

Data PipelineTopology GraphAlarm CorrelationRoot-Cause AnalysisOutage PredictionHuman-in-the-Loop Agent

Synthetic data included

  • Network topology & inventory
  • Alarm event stream (72h)
  • KPI time-series (latency · loss · throughput)
  • Trouble & change tickets
  • Labeled incidents (fiber cut · power · congestion)

What you walk away with

Shareable portfolio

A public URL showing your module timeline, patterns mastered, and completion status.

All the code

Download everything as a ZIP — pipelines, guardrails, deployment configs. Yours forever.

Module walkthrough

Each module documented with deliverables and the production pattern you implemented.

Ready to build your ai network operations assistant?

First course free. $20 per course after that.