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 mastering intermediate PyTorch, your deep learning models stagnate: trainings 3x slower without CUDA, production error rates at 25% due to lack of DataLoader optimizations, failed deployments costing 10k€ in project delays.
Competitors with TorchServe deploy 5x faster, capturing 40% AI market share.
Avoid invisible gradient bugs multiplying GPU costs x4, losses from poorly managed datasets, and obsolescence against scalable AI.
Invest 28 hours for 10x ROI gains in efficiency, stay ahead in ML.
Dive into PyTorch's multidimensional tensors, manipulate them via interactive exercises on broadcasting and reshaping, implement autograd to compute gradients automatically, test on real MNIST datasets, create your first custom modules, produce loss graphs and validate with reusable concrete deliverables.
Build CNNs with convolutions and pooling via TorchVision, train on CIFAR-10 with practical exercises, advance to RNNs and LSTMs for time series, integrate attention mechanisms, optimize hyperparameters in real-time, generate predictions on concrete cases like image recognition, export functional models for your portfolio.
Accelerate training on GPU with CUDA and torch.cuda, configure DataLoaders for massive batching and shuffling, apply transformations via torchvision.transforms on photo-realistic exercises, test Adam/Warmup optimizers, measure 5x speedup on benchmarks, debug common bottlenecks, deliver scalable optimized scripts.
Convert models to TorchScript for fast inference, deploy via TorchServe on Docker servers, export to ONNX for interoperability, profile with TensorBoard to identify bottlenecks, complete a full capstone project on object detection, test in production conditions, leave with a deployed API and impact report.
The PyTorch Training - Develop High-Performance Deep Learning 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.
For the smooth delivery of the PyTorch Training - Develop High-Performance Deep Learning Models 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 - Develop High-Performance Deep Learning Models 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.
Registration is possible up to 48 business hours before the start of training. All our programs are eligible for corporate training budgets and employer-funded plans.
« 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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