“I am happy with course content and module distribution. It is just right.”
Text Labeling ESSENTIALS
Label and analyse text the way real NLP teams do, from sentiment analysis to NER for chatbots and LLM training.
Counts towards Certified Data Annotator certification: 6 courses required.
Course Fee
Next run: 28 Sep 2026
Overview
Become a certified Text Labeling professional.
Chat assistants, search engines and moderation systems learn language from text a person classified. This review is negative, this message wants a refund, this name is a company and that one is a place.
Text labelling is the modality with the lowest equipment bar and the highest judgement bar, and good text annotators are what make language models usable.
This course is five days with a live trainer. Day one covers text labelling and intent classification; day two is sentiment analysis and topic classification in the tools; day three is hands-on named entity recognition with trainer support; day four is chat analysis and evaluation, the skill behind conversational AI work. You work in Label Studio on real text sets, learning to apply a guideline consistently even on the ambiguous cases that fill real queues. Day five is a live assessment with your trainer, and passing it earns the certificate.
One of the six courses of the Certified Data Annotator programme: each one you pass counts toward the credential, and completing all six earns it. Available on its own or as part of the programme, with the certificate included on passing the assessment.
What You Get
What's included in your training
Trainee Portal & Labeling Tools
This course in the DeeLab Academy portal with its materials, scripts and datasets, plus hands-on work on real annotation platforms (Label Studio, CVAT) running on our servers.
Live Sessions & Trainer Support
Daily live workshops on Google Meet with Q&A, plus trainer support between sessions via chat on the Trainee Platform. Session times are set around each cohort.
Session Recordings
Recordings of every session, for anyone who can't attend live.
DeeLab Academy certificate
Certificate issued within one week after you pass the assessment and confirm the publicity details for your certificate.
Outline
What you'll learn
| Day | Session | Topics |
|---|---|---|
| Day 1 | Kick-off & Session 1 | Introduction to text labeling & intent classification |
| Day 2 | Session 2 | Sentiment analysis & topic classification |
| Day 3 | Session 3 | NER: Named Entity Recognition |
| Day 4 | Session 4 | Chat analysis & evaluation |
| Day 5 | Assessment with Trainer | Live assessment — required for certification |
Counts toward the Certified Data Annotator (CDA) certification programme.
Track Record
Previous Runs
| Dates | Status |
|---|---|
| 17 Aug 2026 – 22 Aug 2026 | Completed |
| 15 Jun 2026 – 20 Jun 2026 | Completed |
| 04 May 2026 – 09 May 2026 | Completed |
| 23 Mar 2026 – 28 Mar 2026 | Completed |
What our trainees say
Unedited feedback from graduates who completed this course.
“The class was absolutely GREAT!! Hannah, my instructor, was amazing. Everything covered was easily understood. Im looking forward to completing all certificates even more!”
“I really appreciate adding this course to the annotation program, and Hannah's efforts to make it easy to grasp. Hannah's patience and professionalism in guiding us throughout has been wonderful. Thank you.”
Two ways in
This course, or the whole programme
Just this course
Text Labeling Essentials
One course, with its certificate when you pass.
28 Sep 2026
Best value
The full Certified Data Annotator
All 6 courses, and the programme certificate at the end.
the courses one at a time
Frequently Asked Questions
Everything you need to know about this course.
The course is open to anyone — no prior AI knowledge or coding experience required. It works well for project managers and QA leads overseeing teams that label text, contractors and freelancers paid to annotate language data, developers and researchers building chatbots or working on the human-feedback loop that fine-tunes large language models, and content-moderation specialists who want a structured skill set behind their work. Understanding text annotation from the inside helps you plan better, communicate across teams, and produce higher-quality results faster.
All tools used in the course are free or very low cost — you can keep using them after the course ends. You will work with Label Studio (Community Edition) for sentiment, intent, topic, and named-entity labelling, and Google Drive for dataset organisation. A standard laptop with a modern browser is all you need.
You will be able to produce sentiment, intent, topic-classification, and named-entity-recognition annotations to production standards on real text datasets, follow a clear label taxonomy and edge-case guidelines so your output is usable downstream, and label chat conversations for evaluation — the workflow behind the human-feedback loop that fine-tunes large language models. These are the day-one skills used inside chatbots, search, content moderation, and LLM training pipelines. Project scoping, QA leadership, and team-role rotation are reserved for the Advanced courses and bootcamps.
Yes — Text Labeling Essentials is fully online and you can join from anywhere in the world. We are also open to designing on-site workshops for organisations with sufficient demand; reach out through our contact page if you would like an in-person format for your team.
There is currently no formal industry-wide certification body for data annotation training — a gap the AI ecosystem is still addressing. DeeLab Academy follows the best current industry practices and methodologies, our curriculum is designed and delivered by a five-member team of multi-year industry experts, and we collect structured feedback from every cohort to keep improving the content. We are fully open to being audited by any recognised consultancy that wishes to validate our processes.
You have three months to complete the course, counted from the day you sign up. That applies whether the course is self-paced or runs to a schedule. The deadline is fixed from your sign-up date and doesn't reset if you move to a later run.
Yes, you're automatically enrolled in the run you choose, and you can move to another scheduled run of the same course up to twice from your dashboard. Your payment carries over, and your completion deadline does not change because it runs from the day you signed up.
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