Natural Language Processing

Grab all the skills to make computers understand and process human language. Learn the techniques of natural language processing (NLP) from our expert trainers at Hatigen and develop skills to build probabilistic and deep learning models. Thus, with this natural language processing course online, you’ll be trained to process large amounts of natural language data through the application of machine learning algorithms.

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Natural Language Processing Course Online – Overview

In this natural language processing course, you’ll learn the concepts such as neural models, statistical machine translation, neural knowledge base embedding, deep semantic similarity models (DSSM), neural models applied in image captioning, and deep reinforcement learning techniques, etc. Therefore, you’ll acquire all the skills through this natural language processing training course that are required to become an NLP engineer, and thus, you’ll achieve your dream career.

NLP Course Online – Key Features

  • Trusted content.
  • Re-learn for free anytime in a year.
  • Rigorous assignments and assessments.
  • Learn at your own pace.
  • Mandatory feedback sessions.
  • Mock-interviews.
  • Hands-on real-time experience.
  • Free mentorship.
  • Live chat for instant solutions.
  • Job ready employees post-training.
  • End-to-end training.
  • Download the certificate after the course.
NLP Course – Skills Covered: Perform text processing. Working with NLP Pipeline. Create an NLP module. Classify cluster for articles. Create a basic speech model. Convert speech to text.

Natural Language Processing Training Online – Benefits

With a CAGR of 26.84%, the global market for natural language processing is expected to reach USD 48.46 billion by 2026. Therefore, with this projected growth of natural language processing, one can experience good career growth and amazing job opportunities.

Designation
Annual Salary
Hiring Companies
Job Wise Benefits
Designation
NLP Engineer

UK
Hiring Companies

Natural Language Processing Course – Training Options

Self-Paced Learning

£ 1200

  • 1-year access to the NLP course content.
  • 1 capstone project.
  • Multiple assessments.
  • Continuous feedback sessions.
  • Access to the class recordings.
  • Assistance and support.
  • Download certification.
  • Free mentorship.

Online Boot Camp

£ 1000

  • Everything in Self-paced learning +
  • On-spot doubt clarification.
  • Interactive training sessions.
  • Sessions on the capstone project.
  • Live, online classroom training.
  • Mock-interviews.

Corporate Training

Customized to your team’s needs

  • 1-year access to the NLP course content.
  • 1 capstone project.
  • Multiple assessments.
  • Continuous feedback sessions.
  • Class recordings.
  • Assistance and support.
  • Certification after the course.

Natural Language Processing Online Course – Curriculum

Eligibility

Anyone who wants to get into the artificial intelligence domain or wants to become data engineer, data scientist, data analyst, analytics manager, and data architect can join this natural language processing course online. It is known to be the ideal course for anyone who wants to excel in their career with wider job opportunities.

Pre-requisites

If you want to expand your skills in the domain of artificial intelligence with this natural language processing course, then in order to experience a good understanding of the concepts, you should have the foundational knowledge of mathematics, data science, statistics, and machine learning.

Course Content

  • 2.001 Natural Language
  • 3.001 Corpus
  • 4.001 Text Analytics
  • 5.001 Feature Extraction
  • 6.001 Machine Learning
  • 7.001 Python Toolkits
  • 8.001 Bagging
  • 9.001 Deep Learning: Part One
  • 9.002 Deep Learning: Part Two
  • 10.001 Demo - Setup
  • 10.002 Demo - RNN One: Build Model
  • 10.003 Demo - RNN Two: Analyze Results
  • 10.004 Demo - Clustering and Topic Modeling: Part One
  • 10.005 Demo - Clustering and Topic Modeling: Part Two
  • 10.006 Demo - Sentiment Analysis
  • 10.007 Demo - NLTK
  • 10.008 Demo - sPacy
  • 10.008 Demo - Glove
  • 10.008 Demo - SpamHam
  • Introduction to Natural Language Processing
  • Components of NLP
  • Applications of NLP
  • Challenges and scope
  • Data formats
  • Text Processing
  • Assisted Practice: Implement Text Processing Using Stemming and Regular Expression after Noise Removal and Convert It into List of Phrases
  • Tweets Cleanup and Analysis Using Regular Expressions
  • Accessing Practice Lab
  • N-Gram
  • Bag of Words
  • Document Term Matrix
  • TF-IDF
  • Levenshtein Distance
  • Word Embedding(Word2Vec)
  • Doc2vec
  • PCA
  • Word Analogies
  • Topic Modelling
  • Assisted Practice: Word2vec Model Creation
  • Assisted Practice: Word Analogies Demo
  • Assisted Practice: Identify Topics from News Items
  • Build Your Own News Search Engine
  • Parts of Speech Tagging
  • Dependency Parsing
  • Constituency Parsing
  • Morphological Parsing
  • Named Entity Recognition
  • Coreference Resolution
  • Word Sense Disambiguation
  • Fuzzy Search
  • Document and Sentence Similarity
  • Document Indexing
  • Sentiment Analysis
  • Assisted Practice: Analyzing the Disease and Instrument Name with the Action Performed
  • Assisted Practice: Analyzing the Sentiments
  • Assisted Practice: Extract City and Person Name from Text
  • Identifying Top Product Feature from User Reviews
  • Retrieval based model
  • Generative based model
  • AIML
  • Language Modelling
  • Sentence Correction
  • Assisted Practice: Create AIML Patterns for QnA on Mental Wellness
  • Assisted Practice: To Predict the Next Word in a Sentence
  • Create your Own Spell Checker
  • Spacy
  • NLTK
  • Gensim
  • TextBlob
  • StanfordNLP
  • LUIS
  • Assisted Practice: Simplilearn Review Analysis
  • Create your Own NLP Module
  • Neural Machine Translation
  • Text Classification
  • Text Summarization
  • Document Clustering
  • Attention Mechanism
  • Question Answering Engine
  • Assisted Practice: Target Spam Words and Patterns
  • Assisted Practice: Summarization of News
  • Document Clustering for BBC News
  • Basic concepts for voice/sound
  • Reading, loading and processing the voice data
  • Creating speech model
  • Saving model
  • Implementation/use cases
  • Speech libraries
  • Assisted Practice: Translation from Speech to Text
  • Speech to Text: Extract Keywords from Audio Reviews
  • Natural Language Processing
  • Twitter Hate
  • Zomato Rating

Natural Language Processing Course – FAQs

Natural language processing, the most important branch of artificial intelligence eliminates the gap between digital data and human communication. It derives the ways through which computers and humans can interact, giving rise to virtual assistants and chatbots. Furthermore, natural language processing techniques help analytical tools derive meaningful information from a large amount of natural language data.

If your aim is to get into the artificial intelligence domain or become an NLP engineer, then this natural language processing online training acts as an ideal course to boost your skills. The NLP course curriculum at Hatigen is designed in a way to give you a complete understanding of the natural language processing concepts and enable you to acquire the knowledge required for the NLP engineer.

If you are a beginner and planning to learn natural language processing, then this NLP course online is the best to start. It covers all the basic concepts essential for natural language processing along with the main technical concepts. So, you will gain a complete understanding of natural language processing with this well-structured course curriculum as per the current market standards by the industry experts.

After the completion of this natural language processing online training course, you can start your professional career by working as an NLP engineer. And if you want to learn further and advance your skills, then you can join our artificial intelligence course.

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