Data Annotation Course
This course equips you with essential skills for high-quality data annotation, from designing label sets and guidelines to managing workflows, ensuring quality, and delivering reliable datasets for machine learning.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Data Annotation Course teaches you how to create strong label sets for issue types and urgency levels, write clear instructions, and manage tricky cases with assurance. You will learn practical ways to annotate data, choose the right tools, and set up review steps, then gain expertise in quality checks, agreement measures, and delivering datasets so your labeled data is dependable, uniform, and prepared for powerful machine learning applications.
Elevify advantages
Develop skills
- Design ML-ready label taxonomies: build clear, robust issue and urgency sets.
- Write elite annotation guidelines: crisp rules, edge cases, and live examples.
- Run efficient labeling ops: tools, workflows, batching, and reviewer pipelines.
- Control data quality: agreement metrics, drift tracking, and gold-standard sets.
- Deliver production datasets: clean schemas, de-identified text, and modeler docs.
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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