Anomaly detection course
Master anomaly detection for real-time systems. Learn to design streaming datasets, engineer powerful features, compare ML and rule-based models, and build end-to-end detection pipelines that cut fraud, stop attacks, and protect critical tech platforms.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Anomaly Detection Course shows you how to define precise detection goals, design realistic streaming datasets, and engineer powerful real-time features for login and telemetry events. You will compare rule-based, statistical, time-series, and machine learning models, then learn to deploy, monitor, and tune them with robust alerting, testing, and operational practices for reliable, 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 classes 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
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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