EDIBM · on edX
Deep Learning with TensorFlow and Keras
Intermediate 20 hours English Verified CertificateFREE
About this course
Deep Learning with TensorFlow and Keras covers the same core deep learning ground as IBM's PyTorch track — neural networks, training, evaluation — but through Google's TensorFlow and its high-level Keras API instead. It's the right pick if your team or target job uses TensorFlow specifically, since the two frameworks aren't interchangeable in day-to-day use despite similar underlying concepts.
The honest take: don't take both the PyTorch and TensorFlow deep learning tracks back to back expecting to learn twice as much deep learning — the concepts overlap heavily. Pick the framework your target job actually uses.
What you'll learn
Build neural networks with Keras's high-level API
Train and evaluate models in TensorFlow
Apply convolutional layers for image tasks
Use TensorFlow's data pipeline tools
Debug common TensorFlow/Keras training issues
Decide when TensorFlow vs. PyTorch fits a project
This course includes
20h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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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.
Requirements
- Basic Python and ML fundamentals
Who this course is for
- Learners targeting TensorFlow-using teams
- Python developers choosing a DL framework
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
Pick based on what your target job/team uses — the underlying concepts are similar, but the frameworks aren't interchangeable in practice.
Audit free; verified certificate is $199.
About 20 hours.
No, but basic Python and ML fundamentals help.
Yes — Keras's high-level API is more approachable than low-level TensorFlow, which is why this course leans on it.