PyTorch Initiation Training - Create Your First Deep Learning Models

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: YGW559
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without this PyTorch training, 70% of deep learning projects fail at the basics, wasting 6 months of R&D and 50k€ in useless salaries.

  • Poorly managed tensors cause recurrent crashes, underperforming models (accuracy <70%) block product launches, and lack of CUDA multiplies training times by 10.

  • Falling behind on PyTorch exposes you to competition: trained companies see +30% AI ROI in 3 months.

  • Risk of personal frustration, non-competitive CV against certified data scientists.

  • Invest 28h to avoid these concrete losses and turn AI into a strategic advantage.

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 Initiation training objectives

  • Install and configure PyTorch with CUDA
  • Manipulate tensors and autograd
  • Build simple neural networks
  • Train models on real datasets
  • Evaluate and optimize performance
  • Deploy a basic PyTorch model

Program

PyTorch Initiation curriculum: 4 modules over 4 days

Module 1 : PyTorch Installation and Tensors: CUDA Tools, Basic Exercises (Vector Manipulations)

Discover PyTorch by installing the complete environment with CUDA to accelerate your computations, manipulate your first tensors through interactive exercises on simple datasets, create automatic operations with autograd, test real transformations like image normalization, and produce your first tensor graphs to visualize data flows, while solving concrete cases that prepare you for practical AI.

Module 2 : Linear Networks: nn Modules, Regression (Iris Dataset, Training Loops)

Dive into PyTorch nn modules to build linear models, train regression on the Iris dataset with SGD optimization loops, calculate MSE losses live, adjust hyperparameters through guided exercises, visualize learning curves, and generate reliable predictions on unseen data, to master training from day one and boost your confidence in deep learning.

Module 3 : Basic CNNs: Image Classification (MNIST, Convolutions, DataLoader)

Build your first CNNs with PyTorch on MNIST, use DataLoader to load image batches, implement convolutions and pooling through practical exercises, train with CrossEntropyLoss, optimize with Adam, test accuracy on validation, and deploy a functional image classifier, while analyzing common errors for optimal results that motivate you to tackle complex projects.

Module 4 : Advanced Projects and Deployment: TorchScript, ONNX (Complete AI Model)

Complete an end-to-end final project on custom classification, export to TorchScript and ONNX for deployment, optimize with pruning and quantization, measure GPU/CPU performance, debug via TensorBoard, and produce a deliverable ready to integrate into an app, with personalized feedback to solidify your skills and launch you immediately into production AI.

How PyTorch Initiation skills are assessed

  • Daily practical exercises, graded final project, validation quiz

How the PyTorch Initiation course is taught

  • 70% hands-on practice on real cases, 30% interactive theory, collaborative exercises

PyTorch Initiation training: access and practical arrangements

The PyTorch Initiation Training - Create Your First 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.

Equipment required

For the smooth delivery of the PyTorch Initiation Training - Create Your First Deep Learning Models 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 Initiation Training - Create Your First Deep Learning Models 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 Initiation 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.

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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 Initiation: frequently asked questions

Which tools are used in PyTorch Initiation Training training?+
Hands-on work runs on vector Manipulations, iris Dataset, training Loops, MNIST, convolutions and dataLoader. Those tools come from the PyTorch Initiation Training program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after PyTorch Initiation Training training?+
They can install and configure PyTorch with CUDA, manipulate tensors and autograd and build simple neural networks. Those are the stated objectives of the PyTorch Initiation Training program at Beginner level, checked by the end-of-session assessment.
What does the PyTorch Initiation Training program cover, day by day?+
Day 1: PyTorch Installation and Tensors: CUDA Tools, Basic Exercises (Vector Manipulations). Day 2: Linear Networks: nn Modules, Regression (Iris Dataset, Training Loops). Day 3: Basic CNNs: Image Classification (MNIST, Convolutions, DataLoader). Day 4: Advanced Projects and Deployment: TorchScript, ONNX (Complete AI Model). The PyTorch Initiation Training program runs over 4 days, delivered on site.
How is PyTorch Initiation Training training assessed?+
Assessment relies on daily practical exercises, graded final project, validation quiz. Learni issues a completion certificate together with the individual assessment report at the end of the PyTorch Initiation Training program, which an L&D team can file as evidence.
How much does PyTorch Initiation Training training cost per participant?+
PyTorch Initiation Training training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Initiation Training training take?+
4 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 PyTorch Initiation 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 Initiation Training training?+
Mastery of Python, basics in NumPy, introductory knowledge of machine learning.
Is a certificate issued after PyTorch Initiation 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 Initiation 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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