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Training PyTorch - Mastering DL Models in Production

Ref: VCL741
10 people max.
From $1,470 HT / per person
On-site on request · +$540 with certification exam
1 day
Remote

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Learning objectives

  • Master tensors and autograd for efficient computations
  • Develop advanced neural networks with PyTorch in an enterprise context
  • Implement transfer learning to accelerate ML skills
  • Optimize GPU performance and DataLoader for production-ready models
  • Integrate PyTorch into MLOps pipelines for smooth deployment
  • Design scalable workflows tailored to professional needs
A child walking to school with a backpack
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

  • Ignoring intermediate-level PyTorch mastery dooms your ML projects to inefficiency: 65% of models underperform without dynamic optimization, according to McKinsey, generating training costs 4 times higher and production timelines multiplied by 3.

  • In a market where 80% of data scientists use PyTorch (Kaggle 2023), your competitors deploy faster, capturing 25% additional market share through seamless MLOps.

  • Major career risk for ML engineers: 15-20% salary stagnation without advanced skills, and for the company, estimated annual losses of 500k€ per failed project.

  • Turn these threats into AI leadership by training now for immediate productivity gains and certified innovation.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1PyTorch: Deepen Tensors, CNNs, and MLOps Deployment (GPU Tools, Practical Exercises, Jupyter Deliverables)

Discover dynamic tensors and autograd for precise automatic gradients, implement CNNs on datasets like MNIST or CIFAR-10 with real-time exercises, optimize via DataLoader and CUDA to accelerate training on GPU, apply transfer learning on pre-trained models like ResNet, test deployment via TorchServe in concrete business cases, produce a complete Jupyter notebook with evaluation metrics, and discuss MLOps integration to scale in enterprise, all in interactive sessions guided by a certified expert.

Evaluation method

  • Interactive quiz on tensors and PyTorch optimization
  • Practical CNN project with transfer learning
  • Final evaluation by trainer on MLOps deployment
  • Self-assessment via model performance metrics

Learning method

  • Hands-on method with 70% practice on real enterprise cases
  • Qualiopi-certified pedagogical support with reusable slides and videos
  • Unlimited access to replay and post-training resources
  • Personalized feedback in small groups of max 10
  • PyTorch skills certification validated in enterprise

Methods, materials and delivery

The Training PyTorch - Mastering DL Models in Production 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 - Mastering DL Models in Production 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 - Mastering DL Models in Production 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.

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.

FAQ

Frequently asked questions

How much does the Training PyTorch - Mastering DL Models in Production training cost?+
The price is $1,470 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training PyTorch - Mastering DL Models in Production training?+
The training lasts 1 journée, 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 knowledge of Python, basics in Machine Learning, mastery of NumPy and Pandas, and initial experience with frameworks like TensorFlow
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

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