Natural Language Processing (NLP)
Accredited by Averest
350 Learners
INTERMEDIATE
Natural Language Processing (NLP) combines artificial intelligence, linguistics, and machine learning to enable machines to understand, interpret, and respond to human language. This 5-day Introduction to NLP training program is designed to provide participants with a strong foundation in NLP techniques and applications. By the end of the program, participants will be able to develop NLP models for tasks such as text classification, sentiment analysis, and machine translation using popular NLP libraries and frameworks.
Accreditation With .
Natural Language Processing (NLP) Overview
This 5-day training program provides a comprehensive introduction to NLP, equipping participants with the skills to understand, interpret, and respond to human language using machine learning techniques. The program covers fundamental NLP concepts, text processing techniques, model building, and current trends, enabling participants to develop NLP models for various applications.
What You Will Learn ?
- Understand the fundamental concepts of Natural Language Processing (NLP) and its applications.
- Explore different techniques for text processing, tokenization, and language modeling.
- Build and train NLP models for tasks such as sentiment analysis, machine translation, and text summarization.
- Gain hands-on experience using popular NLP libraries and frameworks like NLTK, SpaCy, and Hugging Face Transformers.
- Understand the latest trends in NLP, such as large-scale language models, and stay updated on emerging advancements.
Course Key Features
- Comprehensive Coverage
- Hands-on Learning
- Expert Instructors
- Industry-Relevant Content
- Flexible Learning Options
Training Options
In Class
- 5-days in-class training
- Pre-course consultation
- Highly experienced instructor(s)
- Post-course follow-up
- All related Averest's quality control tools & required stationary
- 5 or 4 stars training venue
- Pay later by invoice -OR- at the time of checkout by credit card
- Continuous learner assistance and support
Online 5-days instructor-led training
- Pre-course consultation
- Highly experienced instructor(s)
- Post-course follow-up
- Pay later by invoice -OR- at the time of checkout by credit card
- Continuous learner assistance and support
Corporate Training
- A highly customized Corporate Training service designed exclusively for corporate employees and teams. Our training programs are meticulously planned and executed to fill knowledge and experience gaps, helping organizations achieve their business goals. With a comprehensive assessment and tailored curriculum, our experienced trainers deliver modules in areas of accreditation requirements as well as complementary practices such as leadership, communication, and technology adoption. Official certification exam voucher is provided upon completion, ensuring professional growth and measurable results. Contact us now to partner with Averest Training in order to bridge the gaps in your workforce and unlock the full potential of your team.
Schedules
Filters:
2025-May
12 - 16
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-May
19 - 23
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Jun
09 - 13
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Jun
23 - 27
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Jul
07 - 11
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Jul
14 - 18
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Aug
04 - 08
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Aug
11 - 15
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Sep
01 - 05
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Sep
08 - 12
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Oct
06 - 10
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Oct
13 - 17
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Nov
10 - 14
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Nov
17 - 21
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Dec
08 - 12
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Dec
15 - 19
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
Natural Language Processing (NLP) Training Cirriculum
Eligibility .
This course is designed for:
• Data Scientists and Analysts: Professionals looking to deepen their knowledge of NLP techniques and tools.
• Developers and IT Professionals: Individuals seeking to implement NLP models for real-world applications.
• Business Leaders and Entrepreneurs: Executives exploring NLP-driven opportunities to enhance business processes such as customer support and content analysis.
• Students and Researchers: Individuals interested in pursuing careers in NLP, machine learning, or AI.
• Tech Enthusiasts: Anyone interested in learning how to develop and deploy NLP models to analyze and understand human language.
Pre-requisites .
To fully benefit from the course, participants should have a basic understanding of Python programming and machine learning concepts. Prior experience with data analysis or natural language processing is beneficial but not required. Familiarity with linear algebra and statistics would also be helpful.
Natural Language Processing (NLP) Course Content .
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Module 1 Introduction to Natural Language Processing.- What is NLP? Overview of NLP’s role in artificial intelligence and data analysis.
- The key components of NLP: Syntax, semantics, and pragmatics.
- Understanding text data: Challenges in processing natural language, including ambiguity and context.
- Common NLP tasks: Text classification, tokenization, sentiment analysis, and named entity recognition (NER).
- Real-world NLP applications: Chatbots, voice assistants, recommendation systems, and document processing.
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Module 2 Text Preprocessing and Feature Extraction.- Text preprocessing: Tokenization, stopword removal, stemming, and lemmatization.
- Vectorization techniques: Bag of Words (BoW), TF-IDF, and Word2Vec.
- Word embeddings: Representing text as vectors using word embeddings like GloVe and fastText.
- Understanding context with embeddings: Using embeddings for semantic similarity and analogies.
- Handling special cases: Punctuation, misspellings, and slang in real-world text data.
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Module 3 NLP Techniques for Text Classification and Sentiment Analysis.- Text classification: Understanding how to categorize text into predefined labels (e.g., spam detection, news categorization).
- Building machine learning models for text classification: Logistic regression, Naive Bayes, and SVM.
- Sentiment analysis: Techniques for determining the sentiment behind text (e.g., positive, neutral, or negative).
- Evaluating NLP models: Precision, recall, F1 score, and confusion matrices.
- Improving performance: Feature engineering and hyperparameter tuning in NLP models.
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Module 4 Sequence Models and Advanced NLP with Deep Learning.- Sequence modeling in NLP: Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRUs).
- Introduction to transformers: Self-attention mechanism, BERT, GPT, and state-of-the-art NLP models.
- Transfer learning in NLP: Using pre-trained models like BERT, GPT, and Hugging Face Transformers.
- Text generation: Building language models to generate human-like text (e.g., GPT-3).
- Applications of sequence models: Machine translation, text summarization, and chatbot development.
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Module 5 Current Trends and Future of NLP.- Large-scale language models: GPT-3, T5, and other advancements in generative models.
- NLP and ethics: Addressing bias, fairness, and responsible AI in NLP applications.
- NLP in low-resource languages: Challenges and solutions for multilingual models.
- Explainable NLP: Making black-box models interpretable for real-world applications.
- Emerging trends: Conversational AI, voice assistants, and AI-driven content generation.
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