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anomaly detection course

anomaly detection course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

This Anomaly Detection Course teaches you how to set clear detection objectives, create practical streaming datasets, and develop effective real-time features for login and telemetry events. You will evaluate rule-based, statistical, time-series, and machine learning models, then discover how to deploy, monitor, and optimise them using solid alerting, testing, and operational methods for dependable, low-noise detection at scale.

Elevify Advantages

Develop Skills

  • Design streaming anomaly datasets: simulate attacks and realistic login events.
  • Engineer real-time features: velocity, seasonality and per-user risk signals.
  • Apply ML and rules: isolation forest, ARIMA, thresholds for fast anomalies.
  • Build low-latency pipelines: Kafka, Flink, model APIs and alert routing.
  • Tune, test and monitor detectors: replay traffic, metrics, drift and runbooks.

Suggested Summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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