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Data Annotation Basics

4.7/5 (764 ratings) · 74+ certified

DeeLab Academy's free, always-open entry point into data annotation. Self-paced theory and examples, knowledge checks, and a final assessment per module.

Optional verifiable certificate per module for a small fee.

6 Modules
Free, self-paced, and always-open.
Optional Certification

What You'll Learn

Pathway Curriculum

6 hands-on modules covering the full spectrum of professional data annotation. Each module earns its own certificate.

Success Stories

What graduates say

Real feedback from professionals who completed this programme.

4.7/5 from 764 ratings

“Good for absolute beginners!”

Sri E.
Data Annotation Basics programme graduate
Got Questions?

Frequently Asked Questions

Everything you need to know about this programme.

The programme is free, self-paced and open to anyone curious about how AI training data is built. No prior AI knowledge or coding experience is needed. It works well for complete beginners testing whether data annotation is the right career direction, for people in adjacent fields (writing, customer support, content moderation, transcription) who want a structured introduction, and for anyone who has wondered what actually goes into training the AI products they use every day.

The Basics programme is self-paced learning on our e-learning platform: structured theory lessons and online knowledge assessments. It does not include hands-on work in labelling tools. There is no access to annotation software such as Label Studio or CVAT and there are no datasets to download, so there is nothing to install and nothing to buy. All you need is a standard laptop with a modern browser. Hands-on practice with production labeling tools begins in the paid Certified Data Annotator (CDA) Essentials courses.

You will understand the core conventions of data annotation in each module: the main annotation types, what separates a clean label from a sloppy one, and how annotation quality is judged. You will also come away with a clear sense of whether data annotation suits you, and which domain you enjoy most. The Basics programme builds this foundation through self-paced theory and online knowledge assessments; it does not give access to labeling tools, so hands-on, tool-based annotation work to production standards is reserved for the paid Certified Data Annotator (CDA) Essentials courses. The programme grows over time as new Basics-level courses launch.

Yes. Data Annotation Basics is fully online and self-paced, and you can join from anywhere in the world. There is no fixed schedule: start when you are ready, work at your own pace, and pick up where you left off whenever you have time.

The programme is free to enrol and study, including each module’s assessment. Claiming a verifiable certificate is optional. If you choose to claim it, there is a small fee per certificate. Many people take the programme purely as a self-test of fit and skill; others claim the certificate to share with employers or include in a CV.

No. This programme teaches skills and gives you a certificate when you pass. It does not place you in work or guarantee income.

You have one year to complete the programme, counted from the day you sign up. Within that window every course is self-paced and always open; your progress is saved automatically and you can return whenever suits you.

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Any topic we teach publicly, we can deliver as a private cohort: your schedule, your datasets, your team. Participants earn the same certificates as public graduates.

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