Course 9 of 12

Project: Swahili Speech-to-Text Model

Dataset, Fine-tune Whisper, Evaluate, and more.

Yiga AI

Advanced en

Advanced · Course · 4 weeks at 5 hrs/week

Duration: 4 weeks
Effort: 5 hrs/week
Lessons: 24
Hands-on exercises: 24
Projects: 1
Language: en

What you’ll learn

Skills you can put to work.

Machine Learning Foundations

Deep Learning with PyTorch

Computer Vision

NLP with Transformers

Syllabus

Every module, step by step.

4 modules · 29 lessons · 19 hours · 1 graded project

1160 minutes of guided lesson time.

Module 1 · 7 lessons · 4.3 hoursDatasetModule 1 of 4 in Project: Swahili Speech-to-Text Model.

Overview and set-up
Overview and set-up — Dataset in Project: Swahili Speech-to-Text Model.
Lesson
40 min
Core concepts
Core concepts — Dataset in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Worked example
Worked example — Dataset in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Dataset in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Dataset in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Dataset in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Module quiz: Dataset
Check what you learned in Dataset before moving on.
Quiz · Locked
20 min

Module 2 · 7 lessons · 4.3 hours LockedFine-tune WhisperModule 2 of 4 in Project: Swahili Speech-to-Text Model.

Overview and set-up
Overview and set-up — Fine-tune Whisper in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Core concepts
Core concepts — Fine-tune Whisper in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Worked example
Worked example — Fine-tune Whisper in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Fine-tune Whisper in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Fine-tune Whisper in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Fine-tune Whisper in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Module quiz: Fine-tune Whisper
Check what you learned in Fine-tune Whisper before moving on.
Quiz · Locked
20 min

Module 3 · 7 lessons · 4.3 hours LockedEvaluateModule 3 of 4 in Project: Swahili Speech-to-Text Model.

Overview and set-up
Overview and set-up — Evaluate in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Core concepts
Core concepts — Evaluate in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Worked example
Worked example — Evaluate in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Evaluate in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Evaluate in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Evaluate in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Module quiz: Evaluate
Check what you learned in Evaluate before moving on.
Quiz · Locked
20 min

Module 4 · 8 lessons · 6.3 hours LockedDeploy APIModule 4 of 4 in Project: Swahili Speech-to-Text Model.

Overview and set-up
Overview and set-up — Deploy API in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Core concepts
Core concepts — Deploy API in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Worked example
Worked example — Deploy API in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Deploy API in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Deploy API in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Deploy API in Project: Swahili Speech-to-Text Model.
Lesson · Locked
40 min
Module quiz: Deploy API
Check what you learned in Deploy API before moving on.
Quiz · Locked
20 min
Graded project: Project: Swahili Speech-to-Text Model
Apply everything from Project: Swahili Speech-to-Text Model in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Project: Swahili Speech-to-Text Model to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

“The course content made machine learning understandable, and the practice kept me moving.”
Brian Okello
Software developer, Kampala

Continue with

Your next best step.

Following the order of Machine Learning Engineer.

See the full chain

Next lesson

Overview and set-up

Project: Swahili Speech-to-Text Model

40 min · Resume

Course 10 in the track

Monitoring & Drift

Drift detection, Alerts, Retraining, and more.

Advanced · Course · 3 weeks at 5 hrs/week

Course 11 in the track

Deep Learning with PyTorch

Tensors, Autograd, CNNs, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Course 12 in the track

Model Deployment & Serving

Docker, FastAPI, Batch vs real-time, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

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20 lessons · 16.7h · Intermediate

Project: Swahili Speech-to-Text Model

Skills you can put to work.

Every module, step by step.

Make the learning visible.

Daniel O.

Your next best step.

What learners say.

Write a review

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