EDIBM · on edX
Deep Learning with Python and PyTorch
Intermediate 20 hours English Verified CertificateFREE
About this course
Deep Learning with Python and PyTorch is the second half of IBM's two-course PyTorch sequence, picking up after PyTorch Basics for Machine Learning to build actual neural networks — convolutional networks, training loops, and the practical mechanics of getting a deep learning model to actually learn.
The honest take: take PyTorch Basics first if you haven't already — this course assumes you're past tensors-101 and ready to build. It's hands-on and code-heavy rather than theory-first, which suits learners who want to build something working over learners who want the math derivations.
What you'll learn
Build convolutional neural networks in PyTorch
Implement training loops and loss functions
Apply regularization and avoid overfitting
Debug a deep learning model that isn't learning
Move from PyTorch basics to working models
Evaluate model performance with real metrics
This course includes
20h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
Compare alternatives for Deep Learning with Python and PyTorch
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
EDedX
Deep Learning with Python and PyTorch
- Price
- FreeAudit free · $199 cert
- Duration
- 20 hrs
- Level
- Intermediate
- Certificate
- Verified
COCoursera4.9(78,000)
Machine Learning Specialization
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 94 hrs
- Level
- Intermediate
- Certificate
- Professional
COCoursera4.8(12,400)
AWS Certified AI Practitioner
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 14 hrs
- Level
- Beginner
- Certificate
- Professional
EDedX4.4(131)
Data Science: Building Machine Learning Models
- Price
- FreeAudit free · HarvardX certificate available ($149)
- Duration
- 24 hrs
- Level
- Beginner
- Certificate
- Professional
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
I
IBM
edX instructor
— learners— courses — instructor rating
Taught by IBM's data science and AI training team, drawing on IBM's enterprise ML curriculum.
Requirements
- PyTorch Basics for Machine Learning or equivalent
- Working Python knowledge
Who this course is for
- Learners who've completed PyTorch Basics
- Python developers moving into deep learning
About this provider
ED
edX
Non-profit online learning platform founded by Harvard and MIT. 45M+ learners worldwide.
4.5 trust score
Frequently asked questions
It's strongly recommended — this course assumes you're past tensor/gradient basics.
Audit free; verified certificate is $199.
About 20 hours of material.
Hands-on and code-first — expect to build, not just read derivations.
Working convolutional neural networks with proper training loops, not just toy examples.