Learning Path
Get started with the Anomaly Detection API
Archived content
Archive date: 2025-11-14
This content is no longer being updated or maintained. The content is provided “as is.” Given the rapid evolution of technology, some content, steps, or illustrations may have changed.Overview
This learning path provides an overview of anomaly detection for time series data and demonstrates the use of the Anomaly Detection APIs to support Industry 4.0 use cases. Included in this learning path is a step-by-step instruction to get started with using the APIs along with reference to easy-to-use Jupyter Notebooks that apply the APIs on univariate and multivariate time series data.
Skill level
Beginner to Intermediate
Estimated time to complete
Approximately 1 hour.
Learning objectives
This learning path covers the following topics:
- An overview of Anomaly Detection for time series data
- The Anomaly Detection APIs
- An Industry 4.0 use case