Training NLP deep dive with Python and NLTK
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-104
- DURATION: 5 days
- PRICE INFORMATION from: 5050 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
Advanced training in natural language processing using the NLTK library in Python. The program focuses on practical applications of NLP in text analysis and building intelligent language systems. Participants learn advanced text processing techniques and implementation of various NLP algorithms through hands-on workshops. The classes are conducted in the form of intensive workshops, where theory is immediately verified in practice.
Participant profile
- Python programmers interested in developing towards AI and NLP
- Data analysts working with text data
- Machine learning engineers
- AI solution architects
- Researchers and scholars involved in text analysis
- Specialists in document processing automation
- Developers of chatbots and voice assistants
Agenda
- Fundamentals of natural language processing
- Tokenization and text segmentation
- Morphological analysis and lemmatization
- Regular expressions in NLP
- Syntactic analysis of the text
- Advanced NLP techniques
- Topic Modeling
- Sentiment analysis
- Name Entity Recognition (NER).
- Text classification
- Text vectorization and embeddings
- Word2Vec and FastText
- Transformer-based language models
- Create custom embeddings
- Optimization of text representation
- Practical applications of NLP
- Building recommendation systems
- Implementation of chatbots
- Automatic generation of abstracts
- Question Answering (QA) systems
Benefits
The participant will develop the ability to design and implement advanced natural language processing systems. He or she will gain practical knowledge in applying the NLTK library to solve real business problems. Will learn to optimize and tune NLP models for specific applications. Will learn the latest trends and techniques in the field of natural language processing. Will be able to independently implement text analysis and information extraction systems. Will gain the ability to evaluate the quality of NLP models and improve them.
Required preparation of participants
- Knowledge of the Python language at an intermediate level
- Basic knowledge of machine learning
- Understand the basic concepts of word processing
- Experience working with libraries for data analysis
Issues
- Advanced tokenization and text normalization techniques
- Topic modeling and semantic analysis
- Deep Learning in the context of NLP
- Name Entity Recognition (NER).
- Sentiment analysis and text classification
- Vector representations of text
- Language models and transformers
- Dialogue systems and chatbots
- Real-time natural language processing
- Optimization of NLP models
- Evaluation of NLP systems
- Best practices in NLP projects
Do you have any questions?
Feel free to contact us.
Justyna Kalbarczyk
+48 516 098 221
justyna.kalbarczyk@eitt.academy
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Justyna Kalbarczyk
+48 516 098 221
justyna.kalbarczyk@eitt.academy
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























