Program profile · official sources
Deep Learning with Pytorch
365 Data Science's 'Deep Learning with PyTorch' is an advanced-level, online, self-paced course instructed by Gaurav Sarkar. The provider lists two lesson hours; the curriculum takes learners from foundational concepts to hands-on neural network deployment. Students explore tensors, integrate PyTorch with NumPy, study GPU acceleration, and use PyTorch's autograd system for automatic differentiation. The course covers building data pipelines, implementing loss functions, training loops, and evaluation metrics for regression and classification tasks, culminating in Kaggle competition participation. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 2.5 CPE credits; acceptance depends on individual state boards. Prerequisites include Python, PyTorch, and intermediate machine learning knowledge.
Facts checked 30 Sep 2026
- Price
- See pricing
Price observation recorded 30 Sep 2026 (not a current price): As shown in the United States on 30 September 2026, the 365 pricing page Self-study card displays $36/month reference price and a promotional $12.50/month equivalent billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
- Time
- 2 hours (provider headline; module and exam timings listed separately)
- Level
- Advanced
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
- Format
- 100% online, self-paced course
- Prerequisites
- Python (version 3.8 or later), PyTorch library, and a code editor or IDE (e.g., Jupyter Notebook, VS Code, or Google Colab). Intermediate Python and machine learning knowledge is required. Familiarity with NumPy and neural network fundamentals is recommended. Advanced preparation: Machine Learning in Python, Math Foundation for ML.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- 📢Introduction
- 🧠Learning Approach
- 🔥Learning PyTorch
- 🛠️Hands-On Session
- 🏆Kaggle Competition
- Course exam
Prerequisites: Python (version 3.8 or later), PyTorch library, and a code editor or IDE (e.g., Jupyter Notebook, VS Code, or Google Colab). Intermediate Python and machine learning knowledge is required. Familiarity with NumPy and neural network fundamentals is recommended. Advanced preparation: Machine Learning in Python, Math Foundation for ML.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / deep-learning-with-pytorch
- Credential
- Course Certificate · 365datascience.com / certificates
- Issuer
- 365 Data Science · 365datascience.com / certificates
- Sharing
- Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Complete the course and pass its course exam with 60% or above under the general certificate terms. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Who should skip it
Alternatives in the registry
Related by topic or level.
- Convolutional Neural Networks with TensorFlow in Python : Check official price; 4 hours (provider headline; module and exam timings listed separately).
- Deep Learning with TensorFlow 2 : Check official price; 5 hours (provider headline; module and exam timings listed separately).
- Introduction to Hugging Face : Check official price; 2 hours (provider headline; module and exam timings listed separately).
Change log
- : Initial recorded review of official program details. · Source