TCS iON Industry Honour Course - Natural Language Processing

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Course Details

Course Commencement
August 2023 (Tentative)
Course Completion
January 2024 (Tentative)
Language
English
Exam Dates
Multiple slots in January 2024 (Tentative)
Credits & LTP
Each course offers 5 credit points.
Lecture
3
Tutorial
1
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - B.E./B.Tech
Branch -Engineering (CS, Electronics, Electrical, Mechanical), MBA (Any Stream), Science and Mathematics Graduates & Post Graduates
Semester -
5 th,  6 th,  7 th  and  8 th

Course Summary

Natural Language Processing (NLP) is a field of Artificial Intelligence (AI) that involves the applicationofcomputational techniques to analyse, understand, and generate human language. NLP enables machines tounderstand,interpret, and respond to human language in a way that is like human communication. It involves varioustechniques, suchas Text Analysis, Machine Learning, and Computational Linguistics, to enable machines to perform taskssuch as LanguageTranslation, Sentiment Analysis, Chatbots, Virtual Assistants, Speech Recognition, and more. NLP has awide range ofapplications in various industries, including healthcare, finance, retail, and more.

According to a comprehensive research report by Market Research Future (MRFR), "Natural Language Processing (NLP) market information by technology, type, deployment, service, vertical, and region - Forecast till 2030”, NLP Market could thrive at a rate of 27.6% between 2022 and 2030. The market size will be reaching around US$357.7 billion by the end of the year 2030.

In this course you will explore the fundamental concepts of NLP and its role in the current and emerging technologies. You will gain a thorough understanding of modern neural network algorithms for the processing of linguistic information. By mastering cutting-edge approaches, you will gain the skills to move from word representation and syntactic processing to designing and implementing complex deep learning models for question answering, machine translation, and other language understanding tasks.

Hands-On

A virtual hands-on environment is integrated within the course.

Students will have to leverage this environment to complete the industry assignment as well as to complete Part B of the summative assessment.

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RECOMMENDED PRIOR KNOWLEDGE
  1. Basic Python Programming
  2. Basic knowledge of Artificial Intelligence and Machine Learning

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
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RELATED COURSES
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Course Components

Digital Learning
Resources
Courses to consist of enriching eLearning resources View Sample
Digital
Lectures
Multiple digital lectures delivered by a renowned academician and an industry expert, through the entire duration of a course View Sample
Academic Connect
Community
Moderated by an academic expert with a focus on building conceptual clarity View Sample
Industry Connect
Community
Moderated by an industry expert with a focus on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to industry related mini projects to enable practical exposure for candidates View Sample
Periodic Formative
Assessment
Access to three periodic formative assessments during the course View Sample
Summative Assessment
/TCS NQT
Candidates to appear for either summative assessments consisting of two parts - Test of Knowledge and Test of Application or TCS NQT View Sample
Verifiable Digital
Certificate
Successful candidates to receive a digital certificate, verifiable through online platforms View Sample
Internship
Opportunity
Internship opportunity for toppers in the respective courses, subject to vacancies in corporates and their hiring policies View Sample
Job
Visibility
Get visibility to job vacancies with leading corporate recruiters that recognise the TCS NQT certification, subject to vacancies in corporates and their hiring policies View Sample

Testimonials

!~Testimonials~!