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$20

AI Anomaly Detection

Build an anomaly detection system that monitors time-series metrics, detects unusual patterns using statistical and ML methods, triggers alerts, and provides AI-powered root cause analysis.

"API latency spiked 3x at 14:32 — the root cause is a slow database query from the new deployment"

6 Modules

Each module builds on the previous one. By the end, you have a complete production system.

  1. 1

    Data Ingestion

    Multi-source metric pipeline with windowing

  2. 2

    Statistical Baselines

    Moving averages, z-scores, seasonal decomposition

  3. 3

    ML Detection

    Isolation forest + autoencoder ensemble

  4. 4

    Alert Engine

    Rules, dedup, escalation, notification

  5. 5

    Monitoring App

    Next.js dashboard with anomaly timeline

  6. 6

    Production Pipeline

    Root cause analysis + SLA tracking

Production patterns you'll master

Statistical BaselinesML DetectionAlert RoutingRoot Cause AnalysisObservability

Synthetic data included

  • API latency metrics (30 days)
  • Error rate logs (JSON)
  • Deployment events
  • Infrastructure metrics (CPU/memory)
  • Incident history

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 anomaly detection?

First course free. $20 per course after that.