Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
PyTorch Training - Master High-Performance Deep Learning
Trusted by — schools, companies and industrial groups
41,181 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
PyTorch training objectives
- Master advanced tensors and Autograd for efficient computations.
- Build CNNs and RNNs using nn.Module and TorchVision.
- Optimize training using DataLoader, optimizers, and GPU.
- Implement custom models with hooks and callbacks.
- Deploy models to production using TorchScript.
- Analyze and debug networks with TensorBoard.
Program
PyTorch curriculum: 4 modules over 4 days
Module 1 : PyTorch Fundamentals: Tensors, Autograd, Modules (Exercises, First Models)
Manipulate multidimensional tensors, compute automatic gradients with Autograd, create custom nn.Module modules, through interactive exercises on MNIST datasets, test on GPU, produce a functional image classifier ready for training, gain immediate fluency.
Module 2 : PyTorch Convolutional Models: CNN, TorchVision (Real Cases, Transfer Learning)
Design advanced CNN architectures, integrate TorchVision for ready datasets, apply transfer learning on ResNet, train on real images like CIFAR-10, visualize activations, generate accurate predictions, boost your visual projects in just a few exciting iterations.
Module 3 : PyTorch Sequences and Optimization: RNN, LSTM, DataLoader (Scalable Training)
Implement RNN and LSTM for time series, configure DataLoader with augmentations, optimize with Adam and schedulers, manage overfitting with dropout, test on IMDb texts, deliver a high-performing NLP model, accelerate your training workflows by 50%.
Module 4 : PyTorch Deployment and Debugging: TorchScript, TensorBoard (Final Project)
Convert models to TorchScript for production, profile with TensorBoard, debug hooks and gradients, deploy Flask API, integrate ONNX, complete an end-to-end object detection project, leave with a concrete portfolio and deployable skills.
How PyTorch skills are assessed
- Daily practical quizzes, final certifying project, individual feedback from the trainer.
How the PyTorch course is taught
- 70% practical exercises, 30% applied theory, real business cases.
PyTorch training: access and practical arrangements
The PyTorch Training - Master High-Performance Deep Learning program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the PyTorch Training - Master High-Performance Deep Learning program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the PyTorch Training - Master High-Performance Deep Learning program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your PyTorch training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
PyTorch: frequently asked questions
Which tools are used in PyTorch Training training?+
Hands-on work runs on exercises, first Models, real Cases, transfer Learning, scalable Training and final Project. Those tools come from the PyTorch Training program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after PyTorch Training training?+
They can master advanced tensors and Autograd for efficient computations, build CNNs and RNNs using nn.Module and TorchVision and optimize training using DataLoader, optimizers, and GPU. Those are the stated objectives of the PyTorch Training program at Intermediate level, checked by the end-of-session assessment.
What does the PyTorch Training program cover, day by day?+
Day 1: PyTorch Fundamentals: Tensors, Autograd, Modules (Exercises, First Models). Day 2: PyTorch Convolutional Models: CNN, TorchVision (Real Cases, Transfer Learning). Day 3: PyTorch Sequences and Optimization: RNN, LSTM, DataLoader (Scalable Training). Day 4: PyTorch Deployment and Debugging: TorchScript, TensorBoard (Final Project). The PyTorch Training program runs over 4 days, delivered on site.
How is PyTorch Training training assessed?+
Assessment relies on daily practical quizzes, final certifying project, individual feedback from the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the PyTorch Training program, which an L&D team can file as evidence.
How much does PyTorch Training training cost per participant?+
PyTorch Training training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does PyTorch Training training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for PyTorch Training training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before PyTorch Training training?+
Mastery of Python, basics in NumPy/Pandas, knowledge of deep learning fundamentals, and beginner experience in PyTorch or TensorFlow.
Is a certificate issued after PyTorch Training training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for PyTorch Training training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your PyTorch learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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