Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Advanced text processing techniques with Python
Implementing NLP models in business processes
Automatic extraction of key information from documents
Practical strategies for transforming text data into measurable business indicators
What we actually do
- · Key concepts of natural language processing
- · Practical scenarios of NLP applications across industries
- · Configuring Python for NLP
- · Installing and managing libraries: NLTK, spaCy, Gensim
- · Configuring virtual environments
- · Techniques for text cleaning and normalization
- · Tokenization, stopword removal, lemmatization
- · Practical exercises transforming raw text data
- · Named Entity Recognition (NER)
- · Identifying key phrases and relationships
- · Practical business document extraction scenarios
- · Introduction to neural networks
- · Transformers – architecture and applications
- · Practical applications of BERT and GPT in business analysis
- · Text classification algorithms
- · Building ML models for document categorization
- · Workshop: company document classification project
- · Building basic sentiment models
- · Customer opinion analysis in business contexts
- · Workshop: sentiment analysis project for a selected industry
- · Independent creation of a mini NLP project
- · Presentation of solutions
- · Individual consultations and feedback
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.
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.
Thank you!
We'll get back to you within 1 business day.
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