Data Labeling Course
This course teaches essential data labelling techniques for creating high-quality datasets for AI model training, focusing on schema design, example creation, handling ambiguities, and ensuring data privacy and quality.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short Data Labelling Course shows you how to gather different customer messages, create strong schemas for intent, sentiment, and safety, and write real-like made-up examples while keeping privacy safe. You will practise steady labelling, deal with tricky cases like sarcasm and unclear meanings, use quality checks, and provide clean, well-recorded labelled datasets set for solid model training.
Elevify advantages
Develop skills
- Design strong label schemas: build clear intent, sentiment, and safety tags quickly.
- Create real, proper support datasets: gather, hide names, and balance text.
- Apply expert labelling workflows: sort out conflicts and improve label quality.
- Handle tricky cases in short texts: sarcasm, spelling errors, mixed feelings, and unclear meanings.
- Deliver data ready for modelling: record choices and report data quality.
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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