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.
Advanced PyTorch Training - Master Professional Deep Learning
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,181 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Advanced PyTorch training objectives
- Implement advanced CNN and RNN architectures with PyTorch
- Optimize hyperparameters using automated techniques
- Develop GANs and VAEs for data generation
- Master transfer learning on large datasets
- Deploy models in production with TorchServe
- Analyze performance and debug complex networks
- Create end-to-end pipelines for real-world AI projects
Program
Advanced PyTorch curriculum: 5 modules over 5 days
Module 1 : Day 1: Advanced PyTorch Architectures (CNN, RNN, TorchVision tools)
Dive into convolutional CNNs and recurrent RNNs, configure datasets with DataLoader, train initial models on real cases like image classification, generate TensorBoard visualizations, produce performance reports to validate insights, experience the thrill of seeing your networks converge quickly.
Module 2 : Day 2: Optimization and Transfer Learning (AdamW methods, schedulers)
Fine-tune pre-trained ResNet models on your data, apply learning rate schedulers, test augmentation techniques, measure gains on real benchmarks, iterate via hyperparameter search with Optuna, leave with optimized production-ready scripts, boost your projects starting tomorrow.
Module 3 : Day 3: Generative GANs and VAEs (torch.nn, probabilistic distributions)
Build adversarial GANs to synthesize realistic images, implement variational VAEs with KL-divergence, experiment on FashionMNIST datasets, stabilize training with Wasserstein loss, generate stunning visual deliverables, master the art of creative AI generation.
Module 4 : Day 4: Deployment and Scaling (TorchServe, ONNX, distributed training)
Convert models to ONNX for interoperability, deploy via TorchServe on servers, scale with DataParallel on multi-GPU, test real latencies, integrate Flask APIs for web apps, produce deployable Docker containers, transition seamlessly from lab to production.
Module 5 : Day 5: Advanced Projects and Optimization (profiling, quantization)
Develop an end-to-end capstone project on a real client challenge, profile with Torch Profiler for bottlenecks, apply INT8 quantization, benchmark 2-3x accelerations, present a certifying portfolio, consolidate skills via peer-review, leave as an expert ready to conquer the AI industry.
How Advanced PyTorch skills are assessed
- Daily practical quizzes
- Final project with presentation
- Portfolio of deliverables
How the Advanced PyTorch course is taught
- Intensive hands-on 80% practical
- Real business cases
- Real-time expert feedback
Advanced PyTorch training: access and practical arrangements
The Advanced PyTorch Training - Master Professional 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 Advanced PyTorch Training - Master Professional 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 Advanced PyTorch Training - Master Professional 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
How Learni guarantees the quality of your Advanced PyTorch 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.
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.
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
FAQ
Advanced PyTorch: frequently asked questions
Which tools are used in Advanced PyTorch Training training?+
Hands-on work runs on CNN, RNN, torchVision tools, adamW methods, schedulers and torch.nn. Those tools come from the Advanced PyTorch Training program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Advanced PyTorch Training training?+
They can implement advanced CNN and RNN architectures with PyTorch, optimize hyperparameters using automated techniques and develop GANs and VAEs for data generation. Those are the stated objectives of the Advanced PyTorch Training program at Advanced level, checked by the end-of-session assessment.
What does the Advanced PyTorch Training program cover, day by day?+
Day 1: Day 1: Advanced PyTorch Architectures (CNN, RNN, TorchVision tools). Day 2: Day 2: Optimization and Transfer Learning (AdamW methods, schedulers). Day 3: Day 3: Generative GANs and VAEs (torch.nn, probabilistic distributions). Day 4: Day 4: Deployment and Scaling (TorchServe, ONNX, distributed training). Day 5: Day 5: Advanced Projects and Optimization (profiling, quantization). The Advanced PyTorch Training program runs over 5 days, delivered on site.
How is Advanced PyTorch Training training assessed?+
Assessment relies on daily practical quizzes, final project with presentation and portfolio of deliverables. Learni issues a completion certificate together with the individual assessment report at the end of the Advanced PyTorch Training program, which an L&D team can file as evidence.
How much does Advanced PyTorch Training training cost per participant?+
Advanced PyTorch Training training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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 Advanced PyTorch Training training take?+
5 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 Advanced PyTorch 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 Advanced PyTorch Training training?+
Mastery of Python, PyTorch basics, deep learning and neural modeling experience.
Is a certificate issued after Advanced PyTorch 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 Advanced PyTorch 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.
Your professional training, anywhere
Let's build your Advanced PyTorch learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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