Data Annotation Course
This course equips you with essential skills for effective data annotation, from designing label sets and guidelines to managing operations and ensuring quality for machine learning applications.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This straightforward Data Annotation Course teaches you how to create strong label sets for problem types and urgency levels, draft clear instructions, and manage tricky cases confidently. You'll pick up practical labelling processes, choosing tools, and checking methods, then get good at quality checks, agreement measures, and handing over datasets so your labelled data is dependable, uniform, and set for effective machine learning.
Elevify advantages
Develop skills
- Design ML-ready label taxonomies: build clear, strong problem and urgency sets.
- Write top-notch annotation guidelines: sharp rules, tricky cases, and real examples.
- Run smooth labelling operations: tools, processes, grouping, and reviewer setups.
- Control data quality: agreement measures, drift monitoring, and gold-standard sets.
- Deliver production datasets: clean structures, anonymised text, and modeller guides.
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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