Offered By in collaboration with

offer
INSTITUTIONAL BUNDLE OFFER PER STUDENT
elective1
Course 1 ₹ 17,000/-
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elective
Course 2 ₹ 17,000/-
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elective
Course 3 ₹ 17,000/-
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elective
Course 4 ₹ 17,000/-
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Choose any 4 courses
Total Price
₹ 68,000/-
Offer Price
₹ 42,000/-
Offer available only for Institutions

Course Details

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 $97.9 billion by 2023, more than two and a half times of the $37.5 billion that was spent in 2019. The Compounded 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 etc. 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.

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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
Digital course accessible anytime and anywhere View Sample
Digital
Lectures
Digital lectures delivered by industry and academic experts View Sample
Academic Connect
Community
Focussed on building conceptual clarity View Sample
Industry Connect
Community
Focussed on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to two industry related mini projects View Sample
Practice
Assessment
Access to two practice assessments for self-evaluation View Sample
Summative
Assessment
Test of theoretical and applied knowledge View Sample
Verifiable Digital
Certificate
Verifiable certificate on successful completion View Sample
Internship
Opportunity
For top percentile, subject to vacancies in corporates and their hiring policies View Sample
Job
Opportunity
Visibility to job vacancies with leading corporate recruiters, subject to vacancies and their hiring policies View Sample

Available Locations

!~StateCity~!
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Have a Question?

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FAQs

1. How will this programme help students in building their proficiency? +
  • This programme is envisaged to help build a strong foundation across various streams through digital lectures, practice and summative assessments, mini projects, mentorship from renowned industry and academic experts. Students will also get an opportunity to showcase their skills to potential recruiters.