PyTorch Expert Training - Optimize DL Models in 1 Day

Very demanding course · Expertise required

$1,575

  • 1 day
  • Onsite
  • 10 people max.
Ref: UCM712
10 people max.
$1,575
In-company rate: from $2,993 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Without PyTorch expertise, your models train x3 slower without mixed precision, inflating AWS GPU costs by 50% (1400€/month avoided).

  • 65% of ML deployments fail in production due to lack of ONNX/TorchScript (Forrester 2023), losing 4 weeks of R&D.

  • Rival teams scale DDP on clusters, leaving you behind: missed business opportunities, canceled projects.

  • Invest 7h to slash inference time 40%, scale datasets 10x, dominate Kaggle/Prod benchmarks and achieve x10 ROI in infra savings.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

PyTorch Expert training objectives

  • Master mixed precision optimization on GPU
  • Implement advanced architectures like Transformers/GAN
  • Deploy models via TorchScript and ONNX
  • Scale training with DistributedDataParallel
  • Analyze performance with Torch Profiler
  • Debug bottlenecks in real production
  • Build scalable and efficient DL pipelines

Program

PyTorch Expert curriculum: 1 module over 1 day

Module 1 : PyTorch Expert: Optimization, Scaling and Deployment (TorchScript, ONNX, DDP)

Dive into advanced PyTorch with live coding of mixed precision optimizations on GPU to accelerate training x2, implement a Transformer from scratch with exercises on Vision and NLP datasets, convert models to TorchScript/ONNX for smooth deployment, scale via DistributedDataParallel on simulated clusters, analyze bottlenecks with Torch Profiler on concrete AI cases, produce production-ready deliverables and leave with optimized templates to boost your projects tomorrow.

How PyTorch Expert skills are assessed

  • Advanced interactive quizzes
  • Final scalable DL project
  • Personalized coding feedback

How the PyTorch Expert course is taught

  • Live collaborative Jupyter coding
  • Real-time practical challenges
  • Real production case studies

PyTorch Expert training: access and practical arrangements

The PyTorch Expert Training - Optimize DL Models in 1 Day 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 Expert Training - Optimize DL Models in 1 Day 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 Expert Training - Optimize DL Models in 1 Day 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 Expert 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

PyTorch Expert: frequently asked questions

Which tools are used in PyTorch Expert Training training?+
Hands-on work runs on torchScript, ONNX and DDP. Those tools come from the PyTorch Expert Training program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after PyTorch Expert Training training?+
They can master mixed precision optimization on GPU, implement advanced architectures like Transformers/GAN and deploy models via TorchScript and ONNX. Those are the stated objectives of the PyTorch Expert Training program at Expert level, checked by the end-of-session assessment.
How is PyTorch Expert Training training assessed?+
Assessment relies on advanced interactive quizzes, final scalable DL project and personalized coding feedback. Learni issues a completion certificate together with the individual assessment report at the end of the PyTorch Expert Training program, which an L&D team can file as evidence.
How much does PyTorch Expert Training training cost per participant?+
PyTorch Expert Training training costs $1,575 per participant. For an in-company team, the flat rate starts at $2,993 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 Expert Training training take?+
1 day, 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 Expert 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 Expert Training training?+
Advanced Python mastery, intermediate PyTorch (CNN/RNN), deep learning experience, CUDA/GPU basics, Jupyter/Colab.
Is a certificate issued after PyTorch Expert 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 Expert 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.
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