AI & Data

Training: Transformer

The Transformer Models Training is an intensive two-day course focusing on the practical application of state-of-the-art NLP models, such as BERT and GPT, using Hugging Face and TensorFlow Hub.

Duration
6h
Ask about the program → See all
Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills with the latest NLP techniques
2 IT specialists who want to use transformer models for language processing automation
3 Data scientists and analysts looking to process and analyze text with advanced models
Outcomes after the program

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

✓

How to install and configure Hugging Face and TensorFlow Hub for working with transformer models

✓

How to apply transformer models to text classification, named entity recognition (NER), and text generation

✓

How to use and fine-tune pretrained transformer models such as BERT and GPT

✓

How to optimize model performance and deploy models into production environments

Program · 8 modules

What we actually do

M01
Fundamentals of transformer models
  • · Introduction to transformer architecture: history and evolution
  • · Key components and core principles
M02
Overview of Hugging Face and TensorFlow Hub
  • · Installation and configuration of libraries
  • · Survey of available models and their applications
M03
Basic operations with transformer models
  • · Tokenization and text preprocessing
  • · Loading and using pretrained models
M04
Implementing transformers in text processing tasks
  • · Hands-on exercises: loading and testing models
  • · Analyzing results and basic optimization
M05
Training and fine-tuning transformer models
  • · Techniques for training and fine-tuning pretrained models
  • · Using custom datasets for training
M06
Applications of transformer models
  • · Text classification
  • · Named Entity Recognition (NER)
  • · Text generation and machine translation
  • · Sentiment analysis
M07
Fine-tuning and applications
  • · Implementing fine-tuning on real-world datasets
  • · Building projects with BERT and GPT
M08
Model optimization and deployment
  • · Techniques for optimizing model performance
  • · 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.

01

Brief & diagnosis

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

02

Program customization

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

03

Workshop

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

04

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

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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