Program profile · official sources
PyTorch for Deep Learning Professional Certificate
This DeepLearning.AI Professional Certificate, taught by Laurence Moroney, is an intermediate three-course series on Coursera: PyTorch: Fundamentals, PyTorch: Techniques and Ecosystem Tools, and PyTorch: Advanced Architectures and Deployment. It covers tensors, neural networks and pipelines, TorchVision and Hugging Face for vision and language tasks, transfer learning and fine-tuning, architectures such as ResNet and Transformers, and deployment with ONNX, MLflow, pruning and quantization. Coursera lists 2 months at 10 hours a week; DeepLearning.AI lists 87h42m and about 4 months at 10 hours per week. As shown in the United States on 12 October 2026, Coursera shows no programme price; the DeepLearning.AI Pro membership, which gives the certificate, costs USD 25 a month billed annually or USD 30 billed monthly.
Facts checked 12 Oct 2026
- Price
- See pricing
As shown in the United States on 12 October 2026, the Coursera programme page shows no programme amount: it shows "Enroll for free", "Financial aid available" and a subscription trial. The DeepLearning.AI page offers the same certificate through the DeepLearning.AI Pro membership and its FAQ states: "The DeepLearning.AI Pro membership costs $25/mo billed annually and $30/mo billed monthly." It adds that all prices are listed in USD and that taxes may apply depending on your location. This is membership pricing, not a fixed completion total.
- Provider link
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.
- Time
- Coursera: 2 months at 10 hours a week, with the three courses listed at 24, 33 and 31 hours. DeepLearning.AI: 87h42m, and its FAQ says the certificate is designed to be completed in about 4 months at 10 hours per week. Provider estimates; none is an elapsed completion promise.
- Level
- Intermediate level
- Credential
- Professional Certificate
Shareable certificate. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Prerequisites
- Recommended, not required: the DeepLearning.AI page says familiarity with Python and foundational deep learning concepts, such as those covered in the Deep Learning Specialization by DeepLearning.AI, will help you get the most from this professional certificate. The Coursera page shows a "Recommended experience" label without details.
- Format
- Online Professional Certificate on Coursera, 3 course series, flexible schedule, learn at your own pace; DeepLearning.AI lists 77 video lessons, 11 code examples and 24 graded assignments (a graded quiz and a programming assignment in each module)
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
- Duration : https://www.coursera.org/professional-certificates/pytorch-for-deep-learning
- Official program page : https://www.coursera.org/professional-certificates/pytorch-for-deep-learning
- Credential details : https://www.deeplearning.ai/specializations/pytorch-for-deep-learning-professional-certificate
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
- PyTorch: Fundamentals
- PyTorch: Techniques and Ecosystem Tools
- PyTorch: Advanced Architectures and Deployment
Prerequisites: Recommended, not required: the DeepLearning.AI page says familiarity with Python and foundational deep learning concepts, such as those covered in the Deep Learning Specialization by DeepLearning.AI, will help you get the most from this professional certificate. The Coursera page shows a "Recommended experience" label without details.
What you actually do
- PyTorch: Fundamentals : 24 hours; Course 1; DeepLearning.AI outline: Getting Started with PyTorch; The PyTorch Workflow; Data Management in PyTorch; Core Neural Network Components · Source
- PyTorch: Techniques and Ecosystem Tools : 33 hours; Course 2; DeepLearning.AI outline: Hyperparameter Optimization; Working with Images using TorchVision; Working with Text using Hugging Face; Efficient Training Pipelines · Source
- PyTorch: Advanced Architectures and Deployment : 31 hours; Course 3; DeepLearning.AI outline: Designing Custom Architectures; Specialized Approaches to Vision in PyTorch; Specialized Approaches to Natural Language Processing in Pytorch; Preparing Models for Deployment in PyTorch · Source
What the credential is
- Credential type
- Professional Certificate · www.coursera.org / pytorch-for-deep-learning
- Credential
- PyTorch for Deep Learning Professional Certificate · www.coursera.org / pytorch-for-deep-learning www.deeplearning.ai / pytorch-for-deep-learning-professional-certificate
- Issuer
- DeepLearning.AI · www.coursera.org / pytorch-for-deep-learning www.deeplearning.ai / pytorch-for-deep-learning-professional-certificate
- Sharing
- Shareable certificate. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / pytorch-for-deep-learning www.deeplearning.ai / pytorch-for-deep-learning-professional-certificate
- Exam requirement
- The captured pages describe no exam. The DeepLearning.AI page lists 24 graded assignments (a graded quiz and a programming assignment in each module) and says a certificate is given on completion when you are enrolled through the DeepLearning.AI Pro membership and complete the required assessments. No passing score is stated. · www.coursera.org / pytorch-for-deep-learning www.deeplearning.ai / pytorch-for-deep-learning-professional-certificate
- Credential scope
- Coursera: "Earn a career certificate" and "Earn an employer-recognized certificate from DeepLearning.AI". DeepLearning.AI: "If you're auditing the course for free, a certificate will not be provided." · www.coursera.org / pytorch-for-deep-learning www.deeplearning.ai / pytorch-for-deep-learning-professional-certificate
Alternatives in the registry
Related by topic or level.
- Deep Learning Specialization : Check official price; Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 5 weeks except course 3, which takes about 4 weeks. These are separate provider estimates; no combined completion promise is inferred..
- Natural Language Processing Specialization : Check official price; Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 4 weeks. These are separate provider estimates; no combined completion promise is inferred..
- DeepLearning.AI TensorFlow Developer Professional Certificate : USD 49 (The US course FAQ states $49/month for access to all four courses until the subscription ends. It separately describes a one-time $49 single-course payment with access for 180 days or until completion. These are different payment scopes, not a total completion cost.); Overview: 2 months at 10 hours a week. These are provider estimates; no combined completion promise is inferred..
Change log
Visitor answers
Will I receive a certificate when I complete the Professional Certificate?
Yes, if you enroll on the certificate track and complete the graded work. DeepLearning.AI answers this question itself, as shown in the United States on 12 October 2026: "Yes, if you’re enrolled through the DeepLearning.AI Pro membership and complete the required assessments, you’ll receive a certificate upon completion. If you’re auditing the course for free, a certificate will not be provided."
The program is offered in two places, and each sets its own rule.
On DeepLearning.AI. The certificate comes with the Pro membership: the page says "Earn a certificate with PRO" and lists "24 Graded Assignments". The membership FAQ covers stepping down a plan: "If you downgrade, you'll keep access to all content and can continue to earn certificates until your next billing cycle. Your progress will be saved on any courses started for 180 days giving you the chance to upgrade again if you want to complete the quizzes or assignments." The membership price, with its date, is in this page's facts and price section.
On Coursera (as shown in the United States on 12 October 2026). The program page shows an "Enroll for free" button, lists a "Shareable certificate" and says "Earn an employer-recognized certificate from DeepLearning.AI". What enrolling gives is set out in the FAQ of each of the three course pages, in the same words: "To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate." On the certificate track: "When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile." The program page also shows "Financial aid available," with a link.
One course or all three. Coursera's program FAQ asks "Can I just enroll in a single course?" and answers: "Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate." Each course page adds: "When you enroll in this course, you'll also be enrolled in this Professional Certificate."
What we couldn't find. Both sites use the same name, "PyTorch for Deep Learning Professional Certificate", but the pages we read on 12 October 2026 don't say whether a certificate earned on one site is the same document as one earned on the other, or whether progress moves between them. They also don't say whether these three Coursera courses offer the "Full Course, No Certificate" option, or what financial aid covers.
What you can do.
- Pick the site by how you want to pay. DeepLearning.AI ties the certificate to its Pro membership; Coursera ties it to the Certificate experience you choose when you enroll.
- Read the options on Coursera's enrollment screen before you start. On the no-certificate option, Coursera's FAQ says you "won't be able to earn or purchase a Certificate".
- If cost is the obstacle, open the "Financial aid available" link on the Coursera program page before you enroll.
- For anything else about certificates, DeepLearning.AI's Help Center has a section, "Certificates & Course Completion", described as: "Learn how certificates and accomplishments work across DeepLearning.AI courses."
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.