Data Labeling Course
This course equips learners with essential skills for effective data labelling, focusing on schema design, ethical data handling, annotation workflows, edge case management, and delivering high-quality datasets for AI model training.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This concise Data Labelling Course teaches you how to gather diverse customer messages, design solid intent, sentiment, and safety schemas, and write realistic synthetic examples while safeguarding privacy. You will practise consistent annotation, manage edge cases like sarcasm and ambiguity, implement quality control, and deliver clean, well-documented labelled datasets ready for reliable model training.
Elevify advantages
Develop skills
- Design solid label schemas: build clear intent, sentiment, and safety tags quickly.
- Create realistic, ethical support datasets: gather, anonymise, and balance text.
- Apply pro-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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Course in PDF