Natural Language Processing with Transformers Course

Build advanced self-learning systems using NLP with Transformers to solve complex problems

  • Master transformer concepts and implement top-tier models 
  • Implement trained transformers like BERT or OpenAI GPT-3 
  • Learn how to apply NLP to Machine Learning models 
  • 400,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Build Modern Solutions Using Transformers

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.

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Highlights

  • 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  

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 efficiency at lower costs.

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The KnowledgeHut Advantage

The most effective project-based immersive learning experience

Immersive Learning

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  • On-demand videos
  • Guided hands-on exercises
  • Auto-graded assessments and recall quizzes
  • Assignments and projects

Learn by Doing

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  • Learn to code. By actually coding.
  • Get project-ready with work-like experiences.
  • Learn on the job, like devs in tech companies.

Cloud Labs

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  • Access fully provisioned dev environment.
  • Virtual machine spinned up in minutes.
  • Write code right in your browser.

Outcome-Focused

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  • Get advanced learner insights.
  • Measure and track skills progress.
  • Identify areas to improve in.

Blended Learning

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  • On-demand, self-paced learning anytime.
  • Code review sessions by experts.
  • Access to discussion forums, community groups.
Prerequisites

Course Prerequisites

  • Beginner HTML, CSS and JavaScript experience 
  • Basic NLP and Programming (Python & PyTorch) knowledge 
  • For detailed system and software requirements please check FAQs 

Who Should Attend

Beginner Web Developers

Professionals experienced in HTML, CSS and JavaScript

Web developers who want to learn Angular or other frameworks

Developers who want to implement social media and industrial projects

Consultants and Instructors who want to master cutting-edge AI

Engineers who want to optimize NLP, Computer Vision, and more

Course Schedules

Can't find the training schedule you're looking for?

Request a Batch

What You Will Learn

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 

Skills You Will Gain

Understanding NLP Components

Writing NLU Applications

Working with NLP Pipeline and Tasks

Implementing NLP Toolkits

Utilizing NLP Libraries

Understanding architecture of Transformers

Transformer Training

Transformer Training

Using transformers as a copilot for development projects

Creating ethical AI with content filters

Implementing multimodal neurons

Running Vision Transformers for image classification

Generating images from natural language descriptions

Use OpenAI as a basic recommender

Fine-Tuning GPT-3 to fit your needs

Transform Your Workforce

Use Transformer Models to Implement Tasks

Train your AI teams to leverage NLP and Transformer models to implement human-level tasks and build robust solutions using AI by understanding NLP and its continuous evolution. 

  • Leverage Immersive Learning  
  • Get Your Teams Project-Ready 
  • Align Skill Development to Your Most Important Objectives 
  • Get Customized Corporate Training Programs 

500+ Clients

NLP with Transformers Curriculum

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 

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 

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 

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 

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 

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? 

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 

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) 

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.

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? 

Learning Objective 

This module will take you directly into the new era of artificial intelligence. You will learn why transformers are unique and how they are built and trained. 

Topics
  • Why are Transformers Unique? 
  • A Developer's View of Transformers 
  • The Transformer's Architecture 
  • The Input Sub Layer 
  • Input Embedding Sub-Layer 
  • Positional Encoding Function 
  • Multi-Head Attention Sub-Layer 
  • Add and Norm and Feed Forward Network 
  • Encoding and Decoding Stacks 
  • Summing it up: Training BERT 

Learning Objective 

Learn how transformer models have helped in building superior models leading to emergence. Emergence refers to the ability of transformers to learn languages at the near-human level and perform tasks that they were not trained for.  

Topics
  • Why Do We Need Billions of Parameters? 
  • The Flexibility of Transformer Architectures 
  • Language to Code Generation with OpenAI Codex 
  • OpenAI Codex to HTML 
  • Instruct Series 
  • Content Filters to Build an Unbiased Ethical AI 
  • Basic NLP Tasks  
  • Optimizing Google Search 

Learning Objective 

Transformers have expanded to many other domains. This module will take you on a journey into the architectures of vision transformers that have taken computer vision to another level. Images can be split into patches to become word-images we can nearly do anything we want with. 

Topics
  • Multimodal Neurons  
  • Vision Transformers  
  • CLIP  
  • DALL-E  

Learning Objective 

See how transformers are taking us progressively into the world of E-AGI (Economic General Intelligence). This module will teach how transformers can be used as basic recommenders, learn embeddings, improve thinking, and make micro-decisions for SCM (Supply Chain Management).  

Topics
  • Economic AGI: Scope and Perspectives  
  • Recommender Tasks  
  • OpenAI Embeddings  
  • Improving AI Logic by Fine-Tuning GPT-3 
  • SCM Micro-Decisions 

NLP Training FAQs

Course FAQs

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.  

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 

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

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) 

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

On successful completion of the NLP training course, you will receive a course completion certificate issued by KnowledgeHut. 

Your instructors are expert NLP practitioners who have many years of industry experience working with NLP and Transformers. 

A transformer is a type of deep learning model employed in NLP. It uses the principle of self-attention to weigh and identify the significance of various parts of the input. 

A natural language processing course focuses on helping the learner understand how to leverage NLP to provide a better experience to users or accomplish tasks.   

Yes, NLP is in demand across industries. Leveraging NLP has a lot of applications to improving processes and increasing accuracy in decision making. 

To become an NLP engineer you will need to undergo NLP training online. You must start with understanding the fundamental concepts and components of NLP. The next step is to learn how to write NLU (Natural Language Understanding) applications and handle NLP pipelines and tasks. You will improve your capability by adding knowledge of implementing NLP toolkits and using NLP libraries. These are the steps in NLP training you will follow to become an NLP engineer.  

Once you are comfortable with NLP concepts then you can focus on the self-attention mechanism in NLP. This will set you up with a good foundational knowledge to learn about transformers. You should understand how transformers work, how to build and train them. From there you can explore the different types and versions of transformers and the benefits they provide.  

NLP is a complex field that is filled with challenges. This is because natural languages are complex, contextual, and can be ambiguous. If solving problems excites you then you would enjoy learning NLP and using it to solve real problems. The best NLP courses will give you opportunities to practice what you’re learning in work-like environments. 

Yes, NLP is a promising career for a professional who enjoys problem-solving and working with the latest technology. The tasks that can be accomplished with NLP have the potential to immensely benefit businesses. NLP practitioner course online is an effective way to start your NLP career by learning NLP online. You can use an NLP practitioner certification as proof of your knowledge and skills in the discipline. 

NLP Engineer, NLP Data Scientist, NLP Scientist, NLP Practitioner etc., are the common job roles that a professional working with NLP can get.  

Mathematics is an important part of NLP. How much math you should know would depend on your job role. Understanding the math that is involved will be important in NLP. 

Language skills, Machine Learning skills, Data Science skills are all important in the NLP discipline. 

The amount of time it would take for you to learn NLP will depend on your existing knowledge, experience, and skills. To get a good understanding of concepts and to become a competent practitioner should take around four months.  

Workshop Experience

Currently all our NLP courses are offered online as live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts. 

Our NLP course instructors are experts who lead these sessions. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning. The program will help you master NLP and Transformers.  

Our Natural Language Processing and Transformers classes are delivered through live interactive virtual classrooms and can be structured according to the requirements of the NLP course. The NLP course online duration is 24 hours of live NLP classes. 

Our NLP practitioner training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced expert. The focus is on finding practical solutions to real-world scenarios in various project environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors for the course use an extensive set of collaboration tools and techniques which improve your online training experience. 

Internet Connectivity (2Mbps Link) and Minimum Requirements: Any computer (Mac, Windows or Linux), a Terminal or Command Line application (included by default in your computer) System Requirements, Code editor (Visual Studio Code recommended), Angular and other software, Anaconda Distribution with Python 3.7+, Python packages: pandas, matplotlib, seaborn, sklearn, nltk, jupyter, and PyCharm IDE (optional)  

Yes, you can switch your start date for the course with prior notice of at least 24 hours and subject to availability in the desired batch. 

What Learners are Saying

T
Tyler Wilson Full-Stack Expert
5

The learning system set up everything for me. I wound up working on projects I've never done and never figured I could. 

Attended Back-End Development Bootcamp workshop in April 2021

V
Vito Dapice Data Quality Manager
5

The trainer was really helpful and completed the syllabus on time and also provided live examples which helped me to remember the concepts. Now, I am in the process of completing the certification. Overall good experience.

Attended PMP® Certification workshop in April 2020

M
Mirelle Takata Network Systems Administrator
5

My special thanks to the trainer for his dedication and patience. I learned many things from him. I would also thank the support team for their help. It was well-organised, great work Knowledgehut team!

Attended Certified ScrumMaster (CSM)® workshop in July 2020

I
Issy Basseri Database Administrator
5

Knowledgehut is the best training institution. The advanced concepts and tasks during the course given by the trainer helped me to step up in my career. He used to ask for feedback every time and clear all the doubts.

Attended PMP® Certification workshop in January 2020

K
Kayne Stewart slavsky Project Manager
5

The course materials were designed very well with all the instructions. The training session gave me a lot of exposure to industry relevant topics and helped me grow in my career.

Attended PMP® Certification workshop in June 2020

B
Barton Fonseka Information Security Analyst.
5

This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.

Attended PMP® Certification workshop in July 2020

E
Estelle Dowling Computer Network Architect.
5

I was impressed by the way the trainer explained advanced concepts so well with examples. Everything was well organized. The customer support was very interactive.

Attended Agile and Scrum workshop in February 2020

M
Matteo Vanderlaan System Architect
5

I was totally impressed by the teaching methods followed by Knowledgehut. The trainer gave us tips and tricks throughout the training session. The training session gave me the confidence to do better in my job.

Attended Certified ScrumMaster (CSM)® workshop in January 2020