Training: Mastering PyTorch - From Beginner to Advanced Deep Learning

On quote$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: TQT144
8 people max.
On quote$3,465
In-company rate: on quotefrom $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without deep mastery of PyTorch, your Deep Learning models remain unstable and underperform, stalling data innovation.

  • 65 % of projects fail in production due to PyTorch implementation errors, generating average losses of 150 000 € per failed initiative and weeks of wasted debugging.

  • Your company loses market share to agile competitors while your career stagnates, outpaced by expert data scientists.

  • Each month without advanced skills equals 20 % less productivity, amplifying competitive risks starting today.

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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  • Microsoft

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

Learning objectives

  • Understand the fundamentals of PyTorch and its differences with other frameworks
  • Build simple and advanced neural networks with PyTorch
  • Optimize and effectively train Deep Learning models
  • Use GPU and accelerate computation in PyTorch
  • Implement best practices for organizing a Deep Learning project

Program

Module 1Introduction to PyTorch and First Steps in Deep Learning

Presentation of the PyTorch environment, installation, tensor manipulation, memory management, introduction to autograd, implementation of a simple linear regression with PyTorch, best practices for code organization.

Module 2Building and Training Neural Network Models

Design of neural networks with nn.Module, exploration of layers and activation functions, management of loss functions and optimizers, introduction to cross-validation, training on standard datasets (MNIST, CIFAR-10), evaluation and visualization of performances.

Module 3Advanced Techniques, GPU, and Deep Learning Project Organization

GPU usage, multi-GPU, DataLoader and batch processing, regularization techniques (dropout, batch normalization), saving/loading models, introduction to transfer learning, structuring a professional project, presentation of the PyTorch community and additional resources.

Evaluation method

  • Quizzes and MCQs at the end of each day
  • Completion of a mini-project at the end of the training (building an image classifier or NLP processing based on participant choice)
  • Continuous evaluation through practical exercises

Learning method

  • Alternation of theoretical courses, demonstrations, and programming workshops
  • Guided real-world case studies
  • Provided source code and Jupyter notebooks as support
  • Personalized feedback on exercises

Methods, materials and delivery

The Training: Mastering PyTorch - From Beginner to Advanced Deep Learning 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: Mastering PyTorch - From Beginner to Advanced Deep Learning 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: Mastering PyTorch - From Beginner to Advanced Deep Learning 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

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.

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

Frequently asked questions

What can participants do after Training: Mastering PyTorch training?+
They can understand the fundamentals of PyTorch and its differences with other frameworks, build simple and advanced neural networks with PyTorch and optimize and effectively train Deep Learning models. Those are the stated objectives of the Training: Mastering PyTorch program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering PyTorch program cover, day by day?+
Day 1: Introduction to PyTorch and First Steps in Deep Learning. Day 2: Building and Training Neural Network Models. Day 3: Advanced Techniques, GPU, and Deep Learning Project Organization. The Training: Mastering PyTorch program runs over 3 days, delivered on site.
How is Training: Mastering PyTorch training assessed?+
Assessment relies on quizzes and MCQs at the end of each day, completion of a mini-project at the end of the training (building an image classifier or NLP processing based on participant choice) and continuous evaluation through practical exercises. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering PyTorch program, which an L&D team can file as evidence.
How much does Training: Mastering PyTorch training cost per participant?+
Training: Mastering PyTorch training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does Training: Mastering PyTorch training take?+
3 days, 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 Training: Mastering PyTorch 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 Training: Mastering PyTorch training?+
Basics in Python and mathematics for machine learning (notions of matrices, derivatives).
Is a certificate issued after Training: Mastering PyTorch 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 Training: Mastering PyTorch 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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