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Natural Language Processing with Transformers Course

NLP with Transformers

Build advanced NLP systems with Transformers to tackle complex problems

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Prerequisites for NLP with Transformers Course

Prerequisites and Eligibility
  • Beginner HTML, CSS and JavaScript experience
  • Basic NLP and Programming (Python & PyTorch) knowledge
Prerequisites and Eligibility
  • 450,000+
    Career Transformations
  • 250+
    Workshops Every Month
  • 100+
    Countries and Counting

NLP with Transformers Course Highlights

Build Modern Solutions Using Transformers

24 Hours of Live, Interactive, Trainer-Led Sessions

85 Quizzes and 300+ Questions to Practice NLP Concepts

13+ Hours of Hand-on Training with NLP and Transformers

50+ Guided Exercises to Learn NLP with Transformers

Projects that Replicate Work-like Environments

Curriculum Designed and Developed by Industry Experts

Getting machines to understand natural languages is one of the biggest challenges that AI is tackling today. Get on the forefront of this challenge by familiarizing yourself with Natural Language Processing and the different components involved in the discipline. You will also learn how transformers are changing the landscape of NLP with advanced models.

This course is spread across 24 hours and delivered by expert NLP practitioners who will train you on finding solutions by leveraging different transformers. You will learn how NLP combines computational linguistics and role-based modelling of human language with statistical machine learning and deep learning models. You will understand how you can use the most advanced transformers to perform advanced tasks that used to be challenging. On completing the course, you get an NLP certification from KnowledgeHut.

Upgrade Your AI Skills with Transformers

Leading organizations that push the limits of technology are focusing on finding better solutions for Natural Language Processing. Transformers keep getting better at performing complex tasks that require language skills. Learn to use advanced transformers to build modern solutions that serve business needs by improving accuracy and efficiency at lower costs.

There is a growing demand for skilled professionals who can implement modern transformers to perform complex tasks that would otherwise have needed human intervention. NLP Practitioners are in demand as they have immense potential to use the latest technology to build features that are useful to the customers and the organization.

Why KnowledgeHut for NLP with Transformers

Get The KnowledgeHut Advantage

Learn by Doing

Our immersive learning approach lets you learn by doing and acquire immediately applicable skills.

Real-World Focus

Learn theory backed by real-world case studies and exercises, and get productive from the get-go.

Industry Experts

Get trained by leading practitioners who share best practices from their experience across industries.

Curriculum Designed by the Best

Our Data Science advisory board regularly curates best practices to emphasize real-world relevance.

Continual Learning Support

Webinars, e-books, tutorials, articles, and interview questions - we're with you in your learning journey!

Exclusive Post-Training Sessions

Post-training mentor guidance to overcome challenges in your Data Science career.

NLP with Transformers Fee

Tuition Fee and Training Options
Best Seller

Live Online Classroom

Learn In Expert-Led Live Sessions
Solid Experiential Learning
24 Hours of Live, Trainer-Led Sessions
85 Quizzes and 300+ NLP Practice Questions
13+ Hours of Hands-On Transformers Training
50+ Guided Exercises on NLP and Transformers
Upcoming Batches

Enterprise Training

Upskill and Reskill Your Teams
Customized Corporate Training
Unleash In-Demand Skills Across the Enterprise
Align Skill Development with Business Objectives
Drive Increased Employee Productivity
Leverage Immersive Learning
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Unlock your potential as a Transformers Practitioner!

NLP with Transformers COURSE REVIEWS

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Phenomenal guidance

Knowledge Hut UpGrad had been phenomenal in guiding the interested & registered trainees both in terms of learning, co-operation from the Career counsellors everything. They have very professional instructors which will definitely help anyone to pursue any certification or learning trajectory seamlessly. I will definitely look forward for other learning programs with 'Knowledge Hut UpGrad' shortly.

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Best service

Best service, was responsive, more insights on the course i opted for. Helped to get best pricing. Would recommend for any courses you are planning to take in future

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Bharath TR
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Best quality training

Best quality training and it was really worth, the training was structured in the best possible way and easy to understand the basics. Due to the interactive sessions, doubts were cleared quickly and in sorted way.

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Thoroughly impressed

I recently completed a training and certification program with KnowledgeHut, and I'm thoroughly impressed. The instructors were knowledgeable and engaging, providing a comprehensive understanding of the subject matter with hand written notes.

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NLP with Transformers Curriculum

Curriculum

1. Introduction to NLP

Learning Objective:

Get an introduction to the Natural Language Processing. The main learning objective of this session is to learn what NLP is and its applications.

Topics:

  • What is NLP?
  • History of NLP
  • NLP Applications
  • NLP Levels
  • NLP Components
  • NLP Pipeline and Tasks
  • NLP Toolkits and Libraries
  • NLP Challenges

2. Essentials of NLP

Learning Objective:

Learn concepts like tokenization, PoS tagging, stop word removal, text normalization, spelling correction, stemming and lemmatization named entity recognition word sense disambiguation. And finally, we will end up the module with the sentence boundary detection.

Topics:

  • Basic Text Analysis
  • Tokenization
  • PoS Tagging
  • Stop Word Removal
  • Text Normalization
  • Spelling Correction
  • Stemming
  • Lemmatization
  • Named Entity Recognition (NER)
  • Word Sense Disambiguation
  • Sentence Boundary Detection

3. NLP Feature Extractions

Learning Objective:

The vectorization method will be covered in this module, including the back of word, the frequency of vector or the count vectorization, one hot encoded, distributed representation, word embedding, and finally, word2vec.

Topics:

  • Data Structures
  • NLP Pre-processing
  • Feature Extraction Methods
  • Data Clean up with re
  • Collocations –Ngram
  • Tokenizers
  • Stemming -Lemmatization and Stop Words
  • Vectorization

4. NLP with TextBlob

Learning Objective:

In this module, you will learn about the NLP libraries. We will be focusing on the TextBlob library and its features.

Topics:

  • TextBlob
  • Installing the TextBlob
  • Language Detection
  • POS
  • Word Inflection
  • Sentiment Analysis

5. NLP with spaCy

Learning Objective:

In this module you will learn about another NLP library - spaCy that is easy to use and easy to implement for any problems within any business domain.

Topics:

  • NLP with spaCy
  • The spaCy Library
  • Introduction to SpaCy Library
  • Objects of spaCy Library
  • The Statistical Modeling
  • Processing Pipeline

6. Text Classification

Learning Objective:

Get introduced to machine learning and its types. Focus on data science processes. Try to understand what supervised learning flow and data and model training is. Aim to understand what text classification is.

Topics:

  • Introduction to Machine Learning
  • What is Text Classification?

7. Text Summarization

Learning Objective:

In this module we will introduce what is machine learning and its types. We would focus on data science processes. Try to understand what supervised learning flow and data and model training is. Aim to understand what text classification is.

Topics:

  • Text Summarization
  • Text Summarization Categories
  • Stages of Text Summarization

8. Topic Modeling

Learning Objective:

Learn about topic modeling and where to use it. Focus on various areas of topic modeling like use-cases, and libraries such as LSA, LDA, and HDP.

Topics:

  • Topic Modeling
  • Use Cases of Topic Modeling
  • Topic Modeling Libraries
  • Latent Semantic Analysis
  • Latent Dirichlet Allocation
  • Hierarchical Dirichlet Process (HDP)

9. Sentiment Analysis

Learning Objective:

Learn about Sentiment Analysis and explore the diverse types of Sentimental Analysis. You would also understand the benefits, examples, and challenges of Sentiment Analysis.

Topics:

  • Sentiment Analysis
  • Types of Sentiment Analysis
  • Benefits of Sentiment Analysis
  • Examples of Sentiment Analysis
  • Challenges of Sentiment Analysis

10. Chatbots

Learning Objective:

Understand what a Chatbot is and learn about the various tasks that are performed by Chatbots. Discuss the types, and importance, of chatbots.

Topics:

  • Chatbot
  • How do Chatbots Work?
  • Types of Chatbots
  • Importance of Chatbots
  • What is Rasa Chatbot?

What You'll Learn in NLP with Transformers Course

Learning Objectives
NLP Introduction

Understand what Natural Language Processing is and how it gradually evolved

NLP Applications

Learn the different applications that NLP has in different industries and how it helps

NLP Components

Understand the various components of NLP and how they work together

Transformers

Analyse what transformers are in NLP and how they offer unique solutions

Transformer Models

Use transformer models to do many tasks, solving math problems, and search optimization

Multimodal Transformers

Use multimodal transformers for image recognition, classification, and generation

Who Can Attend the NLP with Transformers Course

Who This Course Is For?
  • Beginners starting with web development
  • Professionals skilled in HTML, CSS, and JavaScript
  • Web developers learning Angular or similar frameworks
  • Developers working on social media or industry projects
  • Consultants mastering AI and advanced tools
  • Engineers optimizing NLP, vision, and AI systems
Who Should Attend

NLP with Transformers course FAQs

Frequently Asked Questions
Course FAQs

1. Why is this course relevant?

This NLP training is designed to help you learn Natural Language Processing and how to work with Transformers. You will start by learning the basics of NLP, its components, and applications. Learn how you could use transformers to do various tasks and solve problems as an NLP practitioner.

Skilled NLP practitioners carry immense potential to revolutionize how business is done by building systems that leverage NLP to perform tasks more efficiently.

2. What practical skill sets can I expect to have upon completion of the course?

NLP and Transformers course syllabus covers many Natural Language Processing and Transformers skills including learning how to:

  • Understanding NLP Components
  • Writing NLU Applications
  • Working with NLP Pipeline and Tasks
  • Implementing NLP Toolkits
  • Utilizing NLP Libraries
  • Understanding architecture of Transformers
  • Transformer Training
  • Creating ethical AI with content filters
  • Implementing multimodal neurons
  • Use OpenAI as a basic recommender
  • Fine-Tuning GPT-3 to fit your needs

3. What can I expect to accomplish by the end of this course?

By the end of this course, you would have gained knowledge of how to work with NLP and Transformers.

4. Does this class have any restrictions?

Natural Language Processing and Transformers course eligibility is to have a basic understanding of descriptive statistics like average, sum, minimum, maximum etc.

Recommended minimum system requirement is to have a Workstation or laptop with 8GB+ RAM, 512GB+ hard-disk and 2GHz+ processor speed.

Software requirements include a Terminal or Command Line application (included by default in your computer), Code editor (Visual Studio Code recommended), Angular, Anaconda Distribution with Python 3.7+, Python packages: pandas, matplotlib, seaborn, sklearn, nltk, jupyter and PyCharm IDE (optional)

5. Is the course available in the online/virtual format?

Yes, KnowledgeHut offers Natural Language Processing and Transformers training online.

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