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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Install and configure PyTorch in a development environment
- Manipulate tensors for efficient vectorized operations
- Build simple neural networks with nn.Module
- Train models on standard datasets like MNIST
- Evaluate performance with precise metrics
- Optimize models via autograd and optimizers
- Deploy a basic model in production
Our social commitment
A school kit donated to a child for every training
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
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.
Don't let this gap widen
Why this program matters
Without PyTorch, 70% of deep learning projects fail due to the lack of an effective framework, wasting weeks debugging outdated TensorFlow.
Your competitors deploy AI models in days, capturing 40% additional market share.
Stay stuck on slow prototypes, miss AI promotions with 25% higher salaries, and let business opportunities estimated at 50k€ annually per untrained data scientist slip away.
Invest 5 days to avoid these irreversible losses and dominate AI right now.
Program
Module 1PyTorch Basics: Installation and Tensors (CUDA tools, tensor ops methods, notebook deliverables)
Discover PyTorch by installing the environment with Anaconda and CUDA, manipulate your first tensors through interactive exercises on additions, multiplications, and reshapes, code broadcast operations live, test on simple datasets like Fashion-MNIST, leave with a personal notebook filled with concrete examples to boost your productivity starting tomorrow.
Module 2Autograd and Datasets: Automatic Differentiation (DataLoader tools, gradient methods, data loading script deliverables)
Dive into autograd to compute gradients automatically, load and preprocess datasets with torchvision and DataLoader, perform practical exercises on normalization and image augmentations, build a complete data pipeline, experience the thrill of seeing your tensors come alive, obtain ready-to-use scripts for your AI projects.
Module 3Neural Networks: nn.Module and Layers (activation tools, forward methods, basic CNN model deliverables)
Build your first networks with nn.Module, stack Conv2D, Linear layers, and ReLU activations, code a complete forward pass on MNIST, train in real-time with loss functions, debug via TensorBoard, feel the power of deep learning, leave with a functional CNN model ready to customize immediately.
Module 4Optimized Training: Optimizers and Loops (Adam SGD tools, epochs methods, training loop deliverables)
Master Adam and SGD optimizers for rapid convergence, implement training loops with validation split, monitor overfitting via early stopping, optimize hyperparameters in guided exercises, analyze loss curves live, turn theory into addictive practice, take away robust training loops to scale your models.
Module 5Evaluation and Deployment: Metrics and TorchServe (accuracy F1 tools, inference methods, deployed app deliverables)
Evaluate your models with accuracy, precision, and confusion matrices, switch to fast inference in eval mode, deploy via TorchScript or ONNX for production, test on real cases like image classification, complete a personal capstone project, celebrate your acquired skills, leave certified with a live PyTorch app.
Evaluation method
- Daily interactive quizzes, final project on a real dataset, Qualiopi-recognized certification
Learning method
- 80% hands-on with concrete exercises, 20% applied theory, immediate business use cases
Methods, materials and delivery
The Training PyTorch Initiation - Create Your First AI Models 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 Training PyTorch Initiation - Create Your First AI Models 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 Training PyTorch Initiation - Create Your First AI Models 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.
Our method
Training quality, guaranteed at every step
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.
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FAQ
Frequently asked questions
How much does the Training PyTorch Initiation - Create Your First AI Models training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training PyTorch Initiation - Create Your First AI Models training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Solid Python foundations, basic machine learning concepts, and NumPy knowledge.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
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