Advanced Program in Natural Language Processing
The program equips learners to master the skills to get computers to understand, process, and manipulate human language. Build models on real data and hands-on experience with sentiment analysis, machine translation, and more.

Monthly Recurring Batch

Program Duration

12 Months

Learning Format

Blended Learning

Program Fees


Course Overview

Master the skills to get computers to understand, process, and, manipulate human language. Build models on real data, and hands-on experience with sentiment analysis, machine translation and more.

ML skills to get computers to understand, process, and manipulate human language. Build Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as sentiment analysis and text classification, machine translation, and more!

Training Key Features

For More Information

    What you will learn

    About Acacia University Extension (AUX)

    AUX, an extension of the prestigious Acacia University, USA, has initiated various programs in partnership with Airtics Education. The wide range of programs aims to upskill millions of students in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.

    Upon completion of these programs, you will receive an Advanced Certification from AUX.

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    Skills Covered


    Machine Translation

    Sentiment Analysis


    Attention Models

    Word Embeddings

    Locality-Sensitive Hashing

    Vector Space Models

    Parts-of-Speech Tagging

    N-gram Language Models


    Who Can Apply for the Course?

    Tools/ Frameworks/ Libraries

    Scripting tools

    Data science environment

    IDE shell

    Data Analytics Libraries

    Database Integrations

    Automated Machine Learning Models

    Supervised, Unsupervised

    Application And Use Cases

    Clinical Documentation
    Checking Grammar
    Search Autocorrect and Autocomplete
    Business Analytics
    Document classification
    Text summarization
    Automated speech/voice recognition


    Firm knowledge of software fundamentals with data structures, linear programming and architecture are beneficial. Candidates from programming and non-programming backgrounds could also opt for this in-demand course.


    This program requires experience with Python, statistics, machine learning, and deep learning.

    Course Modules

    Topics Covered: Python Libraries, Machine Learning, Artificial Neural Networks, Image Processing and OpenCV, Convolutional Neural Networks, Object Detection Techniques

    • basics, conditional statements, loops, strings
    • lists, tuples, dictionaries, sets
    • functions
    • Hands on Numpy
    • Hands on Pandas
    • Hands on Matplotlib and Seaborn
    • Data cleaning and preprocessing
    • Supervised machine learning
    • Unsupervised machine learning
    • Hands on Use case
    • Introduction to Artifical Neural Networks
    • Introduction to Deep Neural Networks
    • Hands-on Usecase using tensorflow and keras
    • Regular expressions, NLTK, Spacy, Gensim
    • Tokenization, POS tagging, stopword removal, stemming, lemmatization
    • NER and custom NER
    • Bag of words
    • TfIDF
    • Hands on text classification using BOW, TFidf
    • Sentiment analysis use case
    • Latent Semantic Indexing
    • LDA
    • Use case for topic modelling
    • LSTM
    • GRU
    • Use case for LSTM and GRU

    Interested in This Program? Secure your spot now.

    The application is free and takes only 5 minutes to complete.

      Student Reviews

      Veeraiah Yadav Doddaka
      IT Manager, Samsung

      I choose to learn Data Science and explored many options on which institute to join, among that what I found is Airtics as the best in terms of the course curriculum/on line content they designed and most…..

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      Prasad Joshi
      RF Optimization Engineer, Nokia

      I was a Data Science student at Airtics Education, which helped build a solid data science background and sharpen my programming skills…

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      Mohamed Hanan
      Procurement Assistant

      The program in Data Science offered by Airtics Education is rigorous and has provided me with a greater understanding of the data science world…

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      Capstone Projects

      Sentiment analysis

      News Articles classification

      Topic modeling

      Career Support

      Frequently Asked Questions

      Some of the best NLP tools from open sources are

      • SpaCy
      • TextBlob
      • Textacy
      • Natural language Toolkit (NLTK)
      • Retext

      a. Detecting objects from an image

      b. Facial Recognition

      c. Speech Biometric

      d. Text Summarization

      Ans: d)

      a) And b) are Computer Vision use cases, and c) is the Speech use case.

      Only d) Text Summarization is an NLP use case.

      Top-level benefits of NLP

      These are the key benefits of continual exploration of NLP:

      1) Connecting to purpose, values and motivation.

      2)  Successful and fulfilled life.

      3) Improved results, relationships and resilience.

      If you are interested in engaging an NLP professional to support you through a particular issue, then we suggest you start by looking at our guide for choosing a good NLP professional. If you are wondering if NLP is a good fit for your organisation or workplace, then start by reading our guidance for using NLP at work. If you are thinking about training in NLP for yourself, then start by looking at our guidance for choosing a good NLP trainer. If you are curious and want to know a bit more about NLP before diving in, then do have a look at our case studies and recommended book list, both of which can help you to make informed decisions about whether or not NLP is right for you.
      Natural Language Processing is a field of computer science that deals with communication between computer systems and humans. It is a technique used in Artificial Intelligence and Machine Learning. It is used to create automated software that helps understand human spoken languages to extract useful information from the data it gets in the form of audio. Techniques in NLP allow computer systems to process and interpret data in the form of natural languages.

      What is included in this course?

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        Advanced Program in Natural Language Processing

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