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

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This concise Data Labelling Course teaches you how to gather diverse customer messages, create strong intent, sentiment, and safety schemas, and write realistic synthetic examples while safeguarding privacy. You will practise consistent annotation, manage tricky cases like sarcasm and ambiguity, implement quality checks, and produce clean, well-documented labelled datasets prepared for dependable model training.
Elevify advantages
Develop skills
- Design strong label schemas: build clear intent, sentiment, and safety tags quickly.
- Create realistic, ethical support datasets: gather, anonymise, and balance text.
- Apply professional annotation workflows: resolve conflicts and improve label quality.
- Handle tricky 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 workloadWhat our students say
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