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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Without this training, waste 20h on failed PyTorch configs, like 70% of beginners who give up.
Your AI projects fail at 80% due to lack of solid foundations, losing business opportunities estimated at 50k€/year in data science.
Trained competitors deploy 3x faster, capturing exploding AI markets (+40% jobs 2024).
Risk debug overcosts at 125€/h freelance, or stay stuck on obsolete TensorFlow.
Invest 5 days, gain expertise valued at 15k€ salary boost.
Dive into PyTorch by installing the GPU environment, manipulate tensors for fast calculations, complete exercises on shapes and broadcasts, code your first gradients with autograd, test on MNIST datasets, and leave with a functional notebook ready to scale your AI projects.
Build your first nn.Module modules, assemble linear layers and ReLU activations, train a classifier on Fashion-MNIST using DataLoader, optimize with SGD and Adam, visualize losses in real-time, and apply to a concrete image classification case to boost your practical skills.
Master CNNs with Conv2d and MaxPool, code a network for CIFAR-10 object recognition, handle data augmentations with transforms, monitor training with TensorBoard, debug overfitting with dropout, and finish with a high-performing model on validation for immediate results.
Explore RNN and LSTM for time series, process text with embeddings, train a sequence generator on IMDB reviews, handle masks and packing, evaluate perplexity, integrate into a concrete NLP project, and gain fluency in analyzing your own sequential data.
Optimize models with quantization, export to TorchScript for fast inference, test Flask deployment, integrate GPU inference, finalize a capstone project on a custom dataset, receive expert feedback, and leave as an expert ready to integrate PyTorch into your professional workflows.
The PyTorch Training - Master Deep Learning in 5 Days program is delivered onsite or remote (blended-learning, e-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.
For the smooth delivery of the PyTorch Training - Master Deep Learning in 5 Days program, the following equipment is required:
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.
Assessment of skills acquired during the PyTorch Training - Master Deep Learning in 5 Days program is performed through:
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.
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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