anomaly detection course
Master anomaly detection in live systems. Design streaming data sets, craft key features, evaluate ML versus rule models, and set up full pipelines to fight fraud, block threats, and secure vital platforms with reliable, low-noise alerts at scale.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills in setting clear anomaly detection targets, creating lifelike streaming data sets, and building strong real-time features for login and system telemetry. Compare rules, stats, time-series, and ML approaches, then deploy, watch, and refine them using solid alerts, tests, and ops methods for scalable, quiet detection.
Elevify advantages
Develop skills
- Design streaming anomaly data: mimic attacks and true login patterns.
- Build real-time features: speed, patterns, and user risk scores.
- Use ML and rules: isolation forests, ARIMA, quick thresholds.
- Create fast pipelines: Kafka, Flink, model serves, alert flows.
- Refine, test, monitor: replay data, track metrics, handle drift.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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