TCS iON Industry Honour Course - Vision Intelligence and Machine Learning

Offered By in collaboration with

Click here to integrate the TCS iON Industry Honour Course with your academic programme.

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
Semester -
5 th,  6 th,  7 th  and  8 th

Course Summary

Computer vision is a field of computer science that works on enabling computers to see, identify and process images, videos and more, in the same way that human vision does, and then provide appropriate output. It is like imparting human intelligence and instinct to a computer. It is closely linked with artificial intelligence as the computer must interpret what it sees, and then perform appropriate analysis or act accordingly.

According to a report by GlobeNewswire, the global machine vision market was valued at USD 9.9 billion in 2019 and is projected to reach USD 14.7 billion by 2025, growing at a Compound Annual Growth Rate (CAGR) of 6.5% between 2020 and 2025. The major driving factors in the machine vision market are the increasing need for quality inspection and automation, growing demand and increasing adoption of vision-guided robotic systems and much more.

Vision Intelligence and Machine Learning is a course that provides insights into fundamental concepts and algorithms in computer vision and applications of machine learning in visual intelligence. This is a useful course for practitioners of computer vision applications in real-world scenarios.

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~!