SpaCy Training

Catalogue index: IFS/55

  • In stock
  • Delivery: free
  • Dedicated training:
  • Producer:
  • Training level:
    • Średniozaawansowany
  • Type of training:
    • stacjonarnie; online; warsztat
PLN993.33 net / particip. PLN14,899.95  net for 1 workshop PLN1,221.80 gross incl. 23% VAT / particip.

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Features

Features
Additional materials:
  •  
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Średniozaawansowany
Type of training:
  • stacjonarnie; online; warsztat

Description

Company Description

InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have been supporting organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that will accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed to develop your employees' IT competencies.

Training Description
  • The spaCy training is an intensive two-day course focusing on the practical application of the spaCy library for natural language processing (NLP) in Python. The training program is designed so that 80% of the time is dedicated to practical workshops and 20% to theory. Participants will gain the skills necessary to analyze text, build NLP models, and automate language processing using spaCy, working on real examples and use cases.
  • Required technical skills:
  • Basic programming knowledge in Python
  • Basic knowledge of data processing
  • Ability to work with Python libraries
Who is this training for
  • Programmers and data engineers looking to expand their skills in NLP
  • Data scientists and data analysts wanting to process and analyze text
  • IT specialists who want to use spaCy for automating language processing
Goals

 

Benefits
  • How to install and configure spaCy for natural language processing
  • How to perform basic text operations such as tokenization, lemmatization, and stopword removal
  • How to conduct syntactic analysis, named entity recognition, and sentiment analysis
  • How to build and train text classification models using spaCy
Training Program

  • Day 1: Introduction to NLP and spaCy Basics
    1.1. Basics of Natural Language Processing (NLP)

    • Introduction to NLP: definitions and applications

    • Overview of NLP tools and techniques
      1.2. Introduction to spaCy

    • Installation and configuration of spaCy

    • Overview of basic modules and functions of spaCy
      1.3. Basic operations in spaCy

    • Text tokenization: splitting text into words and sentences

    • Lemmatization and stopword removal

    • Morphological analysis
      1.4. Text analysis using spaCy

    • Implementation of basic text operations

    • Analysis of simple text datasets

  • Day 2: Advanced Techniques and Practical Applications
    2.1. Syntactic and Semantic Analysis

    • Parts of speech (POS tagging) and syntactic analysis

    • Dependency analysis and syntactic trees
      2.2. Named Entity Recognition (NER) and sentiment analysis

    • Named entity recognition techniques

    • Sentiment analysis methods in text
      2.3. Building NLP models using spaCy

    • Creating and training text classification models

    • Using spaCy corpora to build NLP models

Duration

16 h/2 days

Price includes
  • Certificate of completion
  • Monthly access to training recordings (for online format)
  • Customization of the training program to client needs

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