DADataCamp
Introduction to Deep Learning with PyTorch
Intermediate 4 hours English Completion Certificate
What you'll learn
Work with tensors in PyTorch
Build neural networks layer by layer
Choose activation and loss functions
Write training loops
Solve regression and classification tasks
Apply deep learning to tabular and image data
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
TH
Thomas Hossler
DataCamp instructor
— learners— courses — instructor rating
Created by Thomas Hossler, a senior machine learning engineer, with DataCamp's Jasmin Ludolf — combining production ML experience with structured teaching.
Requirements
- Python and basic ML knowledge
Who this course is for
- Data professionals new to deep learning
- Python developers moving into AI
- ML practitioners learning PyTorch
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
Some helps — it's intermediate and assumes Python plus basic ML concepts. It then builds deep-learning skills from the framework up.
PyTorch is one of the most widely used deep-learning frameworks and underpins much of modern AI, including large language models.
About four hours.
Yes — DataCamp issues a shareable statement of completion.
Transformer Models with PyTorch, to go from general neural networks into the architecture behind LLMs.