Data Labeling Course
This course equips you with expert data labelling techniques for customer support conversations. Master designing solid schemas for intent, sentiment, and safety, building balanced ethical datasets, managing complex edge cases such as sarcasm, typos, and mixed emotions, and delivering high-quality, well-documented data that drives reliable and safe AI models in practical tech applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain essential skills in data labelling for customer support texts. Learn to gather varied messages, craft strong schemas for intent, sentiment, and safety, generate realistic synthetic data with privacy safeguards, annotate consistently, tackle tricky cases like sarcasm and ambiguity, enforce quality checks, and produce documented datasets primed for effective AI model training.
Elevify advantages
Develop skills
- Design strong labelling schemas: quickly create clear tags for intent, sentiment, and safety.
- Build realistic ethical datasets: gather, anonymise, and balance customer text data.
- Implement professional annotation processes: resolve disputes and enhance label accuracy.
- Manage challenging cases in brief texts: handle sarcasm, errors, mixed feelings, and unclear meanings.
- Produce data ready for AI training: record choices and assess data quality thoroughly.
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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