Data Annotation Course
This course equips you with essential skills for effective data annotation in machine learning projects, focusing on creating reliable labeled datasets through taxonomy design, guideline creation, operational management, quality assurance, and dataset preparation.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This straightforward Data Annotation Course teaches you how to create solid label sets for issue types and urgency levels, draft clear instructions, and manage tricky cases with ease. You will learn practical ways to annotate data, choose the right tools, and carry out reviews, then gain expertise in quality checks, agreement measures, and preparing datasets so your labelled data is dependable, uniform, and set for effective machine learning applications.
Elevify advantages
Develop skills
- Design ML-ready label taxonomies: create clear, strong sets for issues and urgency.
- Write top-notch annotation guidelines: sharp rules, tricky cases, and real examples.
- Run smooth labelling operations: tools, processes, grouping, and reviewer setups.
- Manage data quality: agreement measures, drift monitoring, and standard test sets.
- Prepare ready-to-use datasets: neat structures, anonymised text, and guides for modellers.
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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