Course 5 of 12

Computer Vision

Image classification, Object detection, Transfer learning, and more.

Yiga AI

Intermediate en

Intermediate · Course · 4 weeks at 5 hrs/week

Duration: 4 weeks
Effort: 5 hrs/week
Lessons: 21
Hands-on exercises: 21
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 · 26 lessons · 17 hours · 1 graded project

1008 minutes of guided lesson time.

Module 1 · 7 lessons · 3.8 hoursImage classificationModule 1 of 4 in Computer Vision.

Quick start: your first useful AI result
A 5–10 minute win you can use today.
Lesson
8 min
Overview and set-up
Overview and set-up — Image classification in Computer Vision.
Lesson · Locked
40 min
Core concepts
Core concepts — Image classification in Computer Vision.
Lesson · Locked
40 min
Worked example
Worked example — Image classification in Computer Vision.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Image classification in Computer Vision.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Image classification in Computer Vision.
Lesson · Locked
40 min
Module quiz: Image classification
Check what you learned in Image classification before moving on.
Quiz · Locked
20 min

Module 2 · 6 lessons · 3.7 hours LockedObject detectionModule 2 of 4 in Computer Vision.

Overview and set-up
Overview and set-up — Object detection in Computer Vision.
Lesson · Locked
40 min
Core concepts
Core concepts — Object detection in Computer Vision.
Lesson · Locked
40 min
Worked example
Worked example — Object detection in Computer Vision.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Object detection in Computer Vision.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Object detection in Computer Vision.
Lesson · Locked
40 min
Module quiz: Object detection
Check what you learned in Object detection before moving on.
Quiz · Locked
20 min

Module 3 · 6 lessons · 3.7 hours LockedTransfer learningModule 3 of 4 in Computer Vision.

Overview and set-up
Overview and set-up — Transfer learning in Computer Vision.
Lesson · Locked
40 min
Core concepts
Core concepts — Transfer learning in Computer Vision.
Lesson · Locked
40 min
Worked example
Worked example — Transfer learning in Computer Vision.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Transfer learning in Computer Vision.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Transfer learning in Computer Vision.
Lesson · Locked
40 min
Module quiz: Transfer learning
Check what you learned in Transfer learning before moving on.
Quiz · Locked
20 min

Module 4 · 7 lessons · 5.7 hours LockedAugmentationModule 4 of 4 in Computer Vision.

Overview and set-up
Overview and set-up — Augmentation in Computer Vision.
Lesson · Locked
40 min
Core concepts
Core concepts — Augmentation in Computer Vision.
Lesson · Locked
40 min
Worked example
Worked example — Augmentation in Computer Vision.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Augmentation in Computer Vision.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Augmentation in Computer Vision.
Lesson · Locked
40 min
Module quiz: Augmentation
Check what you learned in Augmentation before moving on.
Quiz · Locked
20 min
Graded project: Computer Vision
Apply everything from Computer Vision in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Computer Vision 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

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Your next best step.

Following the order of Machine Learning Engineer.

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Quick start: your first useful AI result

Computer Vision

8 min · Resume

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Course 8 in the track

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Linear/logistic regression, Gradient descent, Regularisation, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

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