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anomaly detection course

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

What will I learn?

Gain expertise in defining clear anomaly detection objectives, creating lifelike streaming data sets, and building effective real-time features from login and telemetry data. Compare rule-based, statistical, time-series, and machine learning approaches, and master deployment, monitoring, and optimisation using strong alerting, testing, and operational strategies for scalable, low-noise detection.

Elevify advantages

Develop skills

  • Design streaming anomaly datasets by simulating attacks and realistic login events.
  • Engineer real-time features including velocity, seasonality, and per-user risk signals.
  • Apply machine learning and rule-based methods like isolation forest, ARIMA, and thresholds for rapid anomaly spotting.
  • Build low-latency pipelines using Kafka, Flink, model APIs, and alert routing mechanisms.
  • Optimise, test, and monitor detectors with traffic replay, metrics tracking, drift detection, 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

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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