Learn deep learning with PyTorch: tensors, autograd, backpropagation, CNNs, Transformers, attention, transfer learning, GPU training and ONNX. Hands-on 2026.
The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.
A premium, complete and hands-on course on deep learning and neural networks built entirely on PyTorch, updated for 2026. You will start from why deep learning still matters, master tensors and automatic differentiation with autograd, and build up from linear regression to full multi-layer perceptrons. You will understand backpropagation and gradient descent from the inside, choose the right loss functions and optimizers (SGD, Adam, AdamW), write clean training loops with Datasets and DataLoaders, and defeat overfitting with regularization, dropout and batch normalization. From there you will build convolutional neural networks for images, work through RNNs and LSTMs and understand why Transformers replaced them, implement attention and embeddings, apply transfer learning and fine-tuning, train efficiently on GPU with CUDA and mixed precision, and take models to production with saving, loading and ONNX export. Every concept is paired with real, correct PyTorch code, and the course keeps a strong focus on the legal and ethical side of training data. Includes a comprehensive final assessment.
For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to Deep Learning & AI Models, on the IT Pro track.
Intermediate level: it helps to already know the basics of AI and of the course’s field.
12 modules · 30 lessons · about 25 hours · 358 quiz questions
Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.
You read the lesson, ask the AI Professor right on the page and check what you remember.
Why Deep Learning Still Matters in 2026
It is fair to ask, in 2026, whether you still need to understand deep learning. Powerful assistants such as Claude Opus 5.5, Claude Sonnet 5, GPT-6 Sol and Gemini 3.1 Pro can be called with a single API request, and for many product features that is genuinely the right choice.
Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.
Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.
Every lesson has its own quiz, with explanations for the answers: 358 questions across the course. The professor also summarizes the lesson and prepares review flashcards.
Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.
The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.
The Certificate of Completion for “Deep Learning and Neural Networks with PyTorch”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.
Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.
Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.
The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.
Billed monthly, in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.
Deep Learning and Neural Networks with PyTorch
about €4 per hour of course
Developers, data engineers, architects. Code and production.
€16 per month for each of the 25 courses
The whole catalog, both tracks side by side.
€10 per month for each of the 50 courses
Subscriptions renew automatically; you can stop the renewal anytime from your account, and access stays until the end of the period already paid for. As digital content with immediate access, see the withdrawal conditions.
About the course, the price, the AI Professor and the certificate.
A premium, complete and hands-on course on deep learning and neural networks built entirely on PyTorch, updated for 2026. You will start from why deep learning still matters, master tensors and automatic differentiation with autograd, and build up from linear regression to full multi-layer perceptrons. You will understand backpropagation and gradient descent from the inside, choose the right loss functions and optimizers (SGD, Adam, AdamW), write clean training loops with Datasets and DataLoaders, and defeat overfitting with regularization, dropout and batch normalization. From there you will build convolutional neural networks for images, work through RNNs and LSTMs and understand why Transformers replaced them, implement attention and embeddings, apply transfer learning and fine-tuning, train efficiently on GPU with CUDA and mixed precision, and take models to production with saving, loading and ONNX export. Every concept is paired with real, correct PyTorch code, and the course keeps a strong focus on the legal and ethical side of training data. Includes a comprehensive final assessment.
The course has 12 modules and 30 lessons, with 358 quiz questions. The full curriculum, module by module, is shown on the course page.
The course is Intermediate level: it helps to already know the basics of AI and of the course’s field.
The estimated duration is about 25 hours, across 30 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.
Access to this course alone costs €99 per month. The course is also included in the IT Pro bundle, €399 per month for all 25 IT Pro courses, and in All Access, €499 per month for the whole international catalog.
Plans are billed monthly, in EUR. Every price is a total, with VAT included at the rate of your country. Compare the plans.
Yes. You can read a free preview of lesson 1, “Why Deep Learning Still Matters in 2026”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.
The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.
It is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.
When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “Deep Learning and Neural Networks with PyTorch” from your account, with a unique number, publicly verifiable on the site.
It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.
Yes. Course access and the bundles are subscriptions that renew automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.
You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.
Yes. Company plans give a team access to the courses, with a dashboard where you follow each member’s progress and manage seats centrally. See the plans for companies.
All of them are included in the IT Pro bundle, at about €16 per course, or you can take them separately, at €99 a month each.
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“Deep Learning and Neural Networks with PyTorch”: 30 lessons and about 25 hours of content, with your progress saved at every lesson.
Just this course
€99/month
VAT included · stop the renewal anytime from your account
Buy the course Or all 25 IT Pro courses: €399/monthChatGPT, OpenAI, Claude, Anthropic, Gemini, Google, Microsoft 365 Copilot, Cursor, Midjourney and the other product and company names mentioned are trademarks or trade names of their respective owners. Cursuri-AI.ro is an independent training provider and is not affiliated with, sponsored by or endorsed by any of them.