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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the fundamentals of PyTorch for professional projects
- Develop skills in creating machine learning models
- Design pipelines tailored to business needs
- Implement efficient training with PyTorch in certified training
- Optimize model performance in a professional context
- Configure PyTorch environments for business teams
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
Many companies struggle to scale their machine learning projects to production.
65% of ML initiatives fail due to insufficient expertise in modern frameworks.
Without PyTorch mastery, teams lose competitive edge and projects stall.
Professionals without these skills see their career opportunities restricted amid rising demand.
Acting now prevents these strategic setbacks.
Program
Module 1Theme: Discovering PyTorch for machine learning (installation, tensors, first scripts)
Participants discover PyTorch installation and explore tensors through practical exercises. They manipulate simple data, compare with NumPy, and create their first calculation scripts. Concrete cases illustrate business use. The deliverable is a functional ready-to-use notebook.
Module 2Theme: Training PyTorch models with autograd and optimization (regression, classification)
This day focuses on autograd and training loops. Learners build regression and classification models, use optimizers, and track metrics. Real datasets serve as support. The deliverable includes a trained and validated model with PyTorch.
Module 3Theme: Advanced PyTorch for neural networks (CNN, RNN, DataLoader)
Focus on CNNs and RNNs with PyTorch. Participants design architectures, manage DataLoaders, and apply regularization techniques. Practical exercises on images and sequences reinforce skills. Deliverable: complete classification project.
Module 4Theme: MLOps with PyTorch for professional deployment (TorchScript, monitoring)
Learners export PyTorch models to TorchScript, integrate tracking tools, and simulate deployment. They discover MLOps best practices and integrate them into their workflow. The final deliverable is a pipeline ready for the enterprise.
Evaluation method
- Daily knowledge validation quizzes
- Final project evaluated by the trainer
- Certificate of competencies issued
Learning method
- Practical exercises on Colab notebooks
- Real-world business use cases
- Personalized real-time feedback
- Resources and source code provided
Methods, materials and delivery
The Training PyTorch - Developing Professional ML 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 Training PyTorch - Developing Professional ML 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 Training PyTorch - Developing Professional ML 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.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training PyTorch - Developing Professional ML Models training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training PyTorch - Developing Professional ML Models training?+
The training lasts 4 journées, 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?+
Basic knowledge of Python and familiarity with matrices and elementary linear algebra.
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
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
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