Data Labeling Course
This course equips you with essential skills for high-quality data labelling, focusing on schema design, ethical data creation, annotation best practices, edge case handling, and delivering reliable datasets for AI model training.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This concise Data Labelling Course teaches you how to collect diverse customer messages, design robust intent, sentiment, and safety schemas, and write realistic synthetic examples while protecting privacy. You will practise consistent annotation, handle edge cases like sarcasm and ambiguity, apply quality control, and deliver clean, well-documented labelled datasets ready for reliable model training.
Elevify advantages
Develop skills
- Design robust label schemas: build clear intent, sentiment, and safety tags quickly.
- Create realistic, ethical support datasets: collect, anonymise, and balance text.
- Apply professional-grade annotation workflows: resolve conflicts and improve label quality.
- Handle edge cases in short texts: sarcasm, typos, mixed sentiment, and ambiguity.
- Deliver modelling-ready labelled data: document decisions and report data quality.
Suggested summary
Before starting, you can change the chapters and the 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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