Course 11 of 12

Deep Learning with PyTorch

Tensors, Autograd, CNNs, and more.

Yiga AI

Intermediate en

Intermediate · 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 hoursTensorsModule 1 of 4 in Deep Learning with PyTorch.

Overview and set-up
Overview and set-up — Tensors in Deep Learning with PyTorch.
Lesson
40 min
Core concepts
Core concepts — Tensors in Deep Learning with PyTorch.
Lesson · Locked
40 min
Worked example
Worked example — Tensors in Deep Learning with PyTorch.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Tensors in Deep Learning with PyTorch.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Tensors in Deep Learning with PyTorch.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Tensors in Deep Learning with PyTorch.
Lesson · Locked
40 min
Module quiz: Tensors
Check what you learned in Tensors before moving on.
Quiz · Locked
20 min

Module 2 · 7 lessons · 4.3 hours LockedAutogradModule 2 of 4 in Deep Learning with PyTorch.

Overview and set-up
Overview and set-up — Autograd in Deep Learning with PyTorch.
Lesson · Locked
40 min
Core concepts
Core concepts — Autograd in Deep Learning with PyTorch.
Lesson · Locked
40 min
Worked example
Worked example — Autograd in Deep Learning with PyTorch.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Autograd in Deep Learning with PyTorch.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Autograd in Deep Learning with PyTorch.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Autograd in Deep Learning with PyTorch.
Lesson · Locked
40 min
Module quiz: Autograd
Check what you learned in Autograd before moving on.
Quiz · Locked
20 min

Module 3 · 7 lessons · 4.3 hours LockedCNNsModule 3 of 4 in Deep Learning with PyTorch.

Overview and set-up
Overview and set-up — CNNs in Deep Learning with PyTorch.
Lesson · Locked
40 min
Core concepts
Core concepts — CNNs in Deep Learning with PyTorch.
Lesson · Locked
40 min
Worked example
Worked example — CNNs in Deep Learning with PyTorch.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — CNNs in Deep Learning with PyTorch.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — CNNs in Deep Learning with PyTorch.
Lesson · Locked
40 min
Applying it at work
Applying it at work — CNNs in Deep Learning with PyTorch.
Lesson · Locked
40 min
Module quiz: CNNs
Check what you learned in CNNs before moving on.
Quiz · Locked
20 min

Module 4 · 8 lessons · 6.3 hours LockedTraining loopsModule 4 of 4 in Deep Learning with PyTorch.

Overview and set-up
Overview and set-up — Training loops in Deep Learning with PyTorch.
Lesson · Locked
40 min
Core concepts
Core concepts — Training loops in Deep Learning with PyTorch.
Lesson · Locked
40 min
Worked example
Worked example — Training loops in Deep Learning with PyTorch.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Training loops in Deep Learning with PyTorch.
Lesson · Locked
40 min
Common pitfalls
Common pitfalls — Training loops in Deep Learning with PyTorch.
Lesson · Locked
40 min
Applying it at work
Applying it at work — Training loops in Deep Learning with PyTorch.
Lesson · Locked
40 min
Module quiz: Training loops
Check what you learned in Training loops before moving on.
Quiz · Locked
20 min
Graded project: Deep Learning with PyTorch
Apply everything from Deep Learning with PyTorch in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Deep Learning with PyTorch 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

Grace A.

AI for professions

Shows working professionals how to use AI responsibly inside everyday workflows.

“The examples felt relevant to public service and worked on the connection I actually have.”
Samuel Mwangi
Public service officer, Nairobi

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Your next best step.

Following the order of Machine Learning Engineer.

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Overview and set-up

Deep Learning with PyTorch

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Intermediate · Course · 4 weeks at 5 hrs/week

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