TCS iON Industry Honour Course - Conversational Experiences

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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 - Computer Science Engineering and Information Technology, Electronics and Communication Engineering, Mechanical Engineering
Semester -
5 th,  6 th,  7 th  and  8 th

Course Summary

Ever increasing customer expectations like emotional connect, 24x7 availability, real-time response, enterprise presence in their preferred platforms or channels have changed the preferences and demand for personalised services.

According to the recently updated International Data Corporation (IDC) Worldwide Artificial Intelligence Systems Spending Guide, spending on AI systems will reach US$97.9 billion by 2023, more than two and a half times of the US$37.5 billion that was spent in 2019. The Compound Annual Growth Rate (CAGR) for the 2018-2023 forecast period will be 28.4%. Globally, vendors of consumer devices such as phones, speakers, displays, wearables and others are competing and investing billions to make them feature-rich, more powerful, connected and affordable.

The objective of the course is to enable the attendees to acquire knowledge on chatbots and its terminologies, Machine Learning (ML) concepts and different algorithms to build custom ML models, facilitate better understanding of conversational experiences and create better customer experiences. Conversational experiences will use the right mix of multimodal experience involving Natural Language Processing (NLP), speech recognition, multimedia, vision, and virtual reality for better and personalised results of customer acquisition, retention and revenue.

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 the Part B section of the summative assessment.

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RECOMMENDED PRIOR KNOWLEDGE
1. Basic Python Programming

2. Basic understanding 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~!