Industrial Program

Natural Language Processing (NLP)

Unlock the Power of Language with Advanced NLP Techniques.

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MODE
Online/ e-LMS
TYPE
Self Paced
LEVEL
Moderate
DURATION
12 Weeks

About

This Program is designed to provide a comprehensive understanding of Natural Language Processing (NLP) techniques and applications. Participants will explore the foundational principles of NLP, including text preprocessing, tokenization, and sentiment analysis. The course will delve into advanced topics such as topic modeling, sequence models, and state-of-the-art transformer models like BERT. By the end of the course, participants will be proficient in using key NLP libraries and frameworks, preparing them for advanced studies or careers in NLP and AI.

Program Objectives

  • Understand and apply foundational NLP concepts and techniques.
  • Perform text preprocessing, cleaning, and normalization.
  • Implement tokenization, stemming, and lemmatization methods.
  • Build and evaluate sentiment analysis models.
  • Explore and apply topic modeling techniques such as LDA.
  • Develop sequence models using RNNs and LSTM networks.
  • Utilize transformer models like BERT for advanced NLP tasks.
  • Gain hands-on experience with NLP libraries including NLTK, spaCy, and Hugging Face Transformers.
  • Complete real-world NLP projects to demonstrate practical skills.
  • Prepare for advanced roles in NLP and AI through comprehensive training and hands-on practice.

Program Structure

Introduction to Natural Language Processing:

  • Overview of NLP and its Applications.
  • Key Concepts and Terminologies in NLP.
  • Text Preprocessing and Cleaning.

Text Processing and Tokenization:

  • Techniques for Text Normalization.
  • Tokenization Methods.
  • Stemming and Lemmatization.

Sentiment Analysis:

  • Basics of Sentiment Analysis.
  • Building Sentiment Analysis Models.
  • Evaluating Sentiment Analysis Models.

Topic Modeling:

  • Introduction to Topic Modeling.
  • Latent Dirichlet Allocation (LDA).
  • Implementation of Topic Modeling in Python.

Sequence Models:

  • Understanding Sequence Data.
  • Recurrent Neural Networks (RNN).
  • Long Short-Term Memory (LSTM) Networks.

Transformer Models:

  • Introduction to Transformer Models.
  • Bidirectional Encoder Representations from Transformers (BERT).
  • Implementing Transformers for NLP Tasks.

Practical NLP:

  • Working with Python and Jupyter Notebooks.
  • Using NLTK and spaCy for NLP Tasks.
  • Implementing Advanced NLP Models with Hugging Face Transformers.

Participant’s Eligibility

  • Senior undergraduates and graduate students in Computer Science and related fields.
  • Professionals in IT, data science, and software development looking to enhance their NLP skills.

Program Outcomes

  • Develop a solid understanding of NLP principles and techniques.
  • Gain proficiency in text preprocessing, tokenization, and sentiment analysis.
  • Implement topic modeling, sequence models, and transformer models like BERT.
  • Master the use of key NLP libraries such as NLTK, spaCy, and Hugging Face Transformers.
  • Apply NLP concepts to real-world projects and scenarios.
  • Enhance Python programming skills for advanced NLP tasks.
  • Complete practical coding exercises and projects demonstrating NLP expertise.
  • Earn a certificate of completion recognized by industry leaders.


Fee Structure

Standard Fee:           INR 14,998           USD 258

Discounted Fee:       INR 7499             USD 129

Batches

Spring
Summer

Autumn
Winter

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • NLP Engineer: Design and implement natural language processing models and applications.
  • Data Scientist: Analyze text data to extract meaningful insights and drive business decisions.
  • AI Research Scientist: Conduct research in NLP and contribute to advancements in the field.
  • Machine Learning Engineer: Develop and optimize machine learning models for text analysis.
  • AI Product Manager: Oversee the development and deployment of NLP-based products.
  • Computational Linguist: Work on the intersection of computer science and linguistics to improve language technologies.

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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