PyTorch

The PyTorch training is an intensive two-day course, with 80% focused on hands-on workshops and 20% on theory.

Duration

16h · 2 days

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Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills with PyTorch

2 Data scientists who want to apply PyTorch in their projects

3 AI and ML enthusiasts eager to start working with PyTorch

Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

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How to install and configure PyTorch in your working environment

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How to build, train, and optimize machine learning models with PyTorch

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How to implement advanced neural networks such as CNNs and RNNs

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How to prepare and deploy PyTorch models in production environments

Requirements

What you should know before we start

Basic knowledge of Python programming
Basic knowledge of machine learning
Ability to work in Jupyter Notebook or Google Colab environments

Program

What we actually do

Day 1: Introduction to PyTorch and Machine Learning Fundamentals

· History and development of PyTorch
· Architecture and main components
· Installing PyTorch and dependencies
· Setting up the environment (Jupyter Notebook, Google Colab)
· Operations on tensors, autograd, and computation graphs
· Building and running simple models
· Implementing a linear model in PyTorch
· Training and evaluating the model on real data

Day 2: Advanced Techniques and Practical Applications

· Neural networks and their architecture
· Implementing and training Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
· Optimization and regularization techniques
· Fine-tuning pretrained models in PyTorch
· Preparing and processing image data
· Implementing and training a CNN for image classification
· Exporting models and preparing for deployment
· Practical aspects of deploying models in production environments

Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.

How we work

From brief to retro in 30 days.

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief

✓First session within 30 days

✓Pilot before the full decision

✓VAT invoice, payment in instalments possible

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