“I like the training, helped me understand some concepts and clarify doubts.”
Audio Labeling ESSENTIALS
Train your ear for speech transcription, sound event detection and speaker diarization in voice AI projects.
Counts towards Certified Data Annotator certification: 6 courses required.
Course Fee
Next run: 5 Oct 2026
Overview
Become a certified Audio Labeling professional.
Voice assistants, call-centre analytics and accessibility tools all learn from audio a person listened to and labelled. What was said, who said it, and what else was happening in the room.
Audio labelling is quiet, careful work the AI industry depends on, and it suits people who can hear detail that others miss and record it to a standard.
This course is five days with a live trainer. Day one introduces how audio labelling works and what buyers actually need; day two puts you in the tools with speech analysis practice; day three is hands-on sound event detection with trainer support; day four is guided speech transcription against real conventions. You work in Label Studio on real recordings, training your ear the way models train. Day five is a live skills evaluation 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 | Theory introduction to audio labeling |
| Day 2 | Session 2 | Tool navigation and speech analysis practice |
| Day 3 | Session 3 | Hands-on labeling with trainer support: event detection |
| Day 4 | Session 4 | Speech transcription practice with guidance |
| Day 5 | Assessment with Trainer | Skills evaluation — required for certification |
Counts toward the Certified Data Annotator (CDA) certification programme.
Track Record
Previous Runs
| Dates | Status |
|---|---|
| 10 Aug 2026 – 14 Aug 2026 | Completed |
| 20 Jul 2026 – 25 Jul 2026 | Completed |
| 08 Jun 2026 – 12 Jun 2026 | Completed |
| 27 Apr 2026 – 02 May 2026 | Completed |
What our trainees say
Unedited feedback from graduates who completed this course.
“This course was just right.”
“The diversity of the materials covered made it both interesting and enriching, providing valuable theoretical and practical knowledge. I appreciate the continuous efforts exerted by Benard and Hannah, as well as their professionalism and patience, which made the course even more enjoyable. Thank you.”
“Enjoyed the classes i've taken. Benard & Hannah are great!!!”
“I will strongly recommend this course for any person looking forward to learning about data annotation, The course is comprehensive, hands-on and engaging.”
“I appreciated the content, pace, and practical exercises employed by the instructor, as well as the clear communication and support of the assistant. Thank you, Ben and Hannah.”
Two ways in
This course, or the whole programme
Just this course
Audio Labeling Essentials
One course, with its certificate when you pass.
5 Oct 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 setting standards for teams that label speech and audio, transcriptionists and contractors who want a structured skill set behind their work, and developers or researchers building voice-AI products who want to understand what their training data actually sounds like. Understanding audio 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 speech transcription, speaker diarization, and sound-event annotation, and Google Drive for dataset organisation. A standard laptop with a modern browser and a decent pair of headphones is all you need.
You will be able to produce speech transcription, speaker diarization, and sound-event detection annotations to production standards on real audio datasets, follow a clear label taxonomy and timing conventions so your output is usable downstream, and meet the speed and consistency expectations production teams set. These are the day-one skills used inside voice assistants, call-centre analytics, accessibility tools, and captioning pipelines. Project scoping, QA leadership, and team-role rotation are reserved for the Advanced courses and bootcamps.
Yes — Audio 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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