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Data Labeling Course

Data Labeling Course
from 4 to 360h flexible workload
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 edge cases like sarcasm and ambiguity, implement quality control, and produce clean, well-documented labelled datasets prepared 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: gather, anonymise, and balance text.
  • Apply professional 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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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