Anomaly detection course
This course provides hands-on training in anomaly detection for real-time systems, covering dataset creation, feature engineering, model evaluation, and deployment strategies for scalable, reliable detection.

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.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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 FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

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