TCS iON Industry Honour Course - Natural Language Processing (NLP)
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Course Details
Course Commencement
Course Completion
Language
English
Exam Dates
Credits & LTP
Each course offers 5 credit points.
Recommended For:
Branch - Engineering (CS, Electronics, Electrical, Mechanical), MBA (Any Stream), Science and Mathematics (Graduates & Post Graduates)
Semester - 5th, 6th, 7th and 8th
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.
+ Read MoreRECOMMENDED PRIOR KNOWLEDGE
- Basic Python Programming
- 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.
Course Components
Digital Self-paced Content
Content enables the learners to access interactive and engaging materials to learn at their own pace and convenience for a flexible learning experience
Expert Lectures
Multiple lectures delivered by experts from academy and industry, covering theoretical and hands-on implementation of the technology
Discussion Forum
A community to share and resolve your queries, doubts and ideas which will be responded to by the academic and industry experts
Industry Assignment
Opportunity to work on industry-related assignments and mini projects created by industry experts to gain real-time industry exposure
Periodic Formative Assessment
Three formative assessments are conducted in a continuous comprehensive evaluation pattern during the course of learning
Summative Assessment
Candidates to appear for summative assessments consisting of two parts - Test of knowledge and Test of application
Verifiable Digital Certificate
Successful candidates to receive a digital certificate, verifiable through online platforms
Internship Opportunity
Remote internship will be provided to students which will give them an exclusive opportunity to work with industry mentors on projects and document preparation
Job Visibility
Get visibility to job vacancies with leading corporate recruiters that recognise the
TCS iON NQT certification, subject to vacancies in corporates and their hiring policies
Certificate Eligibility Criteria
- Students who successfully clear the summative assessment and meet each of the following criteria will receive a 'Certificate of Achievement'.
Part B Score is greater than or equal to 50% Overall assessment score is greater than or equal to 50%, which includes the following components and weightage:
Component Weightage Part A Assessment 30% Part B Assessment 50% Periodic Formative Assessment 10% Class Participation* 10% - * Class participation to consist of the below parameters with the given weightage:
Component Weightage Attendance in Digital Lectures 5% % Consumption of Digital Content 2.5% Vibrancy Score in Community 2.5% 100% Completion of the course (which includes Digital Content, Digital Lectures, and Industry Assignments)
- Students who have not taken the summative assessment or do not meet the criteria mentioned in point (a) but have completed the course 100% (which includes the digital content, digital lectures, industry assignments and formative assessment) will receive the 'Certificate of Participation'.
- Students who have taken the summative assessment and have failed to clear it, will receive only a performance 'Scorecard'.
Students who have not taken the summative assessment or do not meet the criteria mentioned in point (a) will receive the 'Certificate of Participation'. - Students who do not meet any of the above criteria will not receive any certificate or scorecard.
Sample Certificate
Career Outlook
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Natural Language Processing (NLP) consists of the combination of the computational rule-based modeling of the human language that represents data in Machine Learning, Statistical and Deep Learning Models.
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NLP is a technology that enables the processing of human language in the form of text or voice data. It is used in various applications, such as voice-operated GPS systems, digital assistants, speech-to-text dictation software, and customer service chatbots.
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The Global Natural Language Processing (NLP) market is projected to grow from US$29.71 billion in 2024 to US$158.04 billion by 2032, exhibiting a CAGR of 23.2% during the forecast period, as per Fortune Business Insights.
Career Outlook
Potential Job Roles
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