anomaly detection course
This course provides hands-on training in anomaly detection for real-time systems, covering dataset creation, feature engineering, model evaluation, and operational deployment for scalable, reliable detection.
from 4 to 360h 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 implement, oversee, and refine them using solid alerting, testing, and operational methods for dependable, low-noise detection on a large 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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio CarloAluno de Engenharia de Prompt
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Course in PDF