TCS iON Industry Honour Course - Machine Learning for Real-World Application

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TCS iON
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Course Details

Course Commencement

Course Completion

Language

English

Exam Dates

Credits & LTP

Each course offers 5 credit points.

Credit
5
Lecture
3
Tutorial
1
Practical (Hands-on)
1

Recommended For:

Graduation Programme - B.E./B.Tech
Branch - Applicable across all engineering branches
Semester - 5th, 6th, 7th and 8th

Course Summary

Machine Learning (ML) is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine Learning focusses on the development of computer programs that can access data and learn from it.

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RECOMMENDED PRIOR KNOWLEDGE

  1. Mathematics and Statistics
    • Linear Algebra: Matrices and Vectors
    • Calculus: Differentiation, Partial Derivatives and Gradient
    • Statistics: Descriptive Statistics, Normal Distribution, Probability
  2. Python
    • Basic Programming
    • Data Processing using NumPy, SciPy, Matplotlib and Pandas
    • Basic usage of Scikit, Scikit-learn packages in Python
  3. Completing the course "TCS iON Industry Honour Certification - Artificial Intelligence for Real-World Application" is highly recommended.

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

Modular Assignment

An opportunity to work on modular assignments designed by industry experts, providing real-time exposure to current industry practices

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

  1. 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%
  2. * 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 Modular Assignments)

  1. 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, modular assignments and periodic formative assessment) will receive the 'Certificate of Participation'.
  2. Students who have taken the summative assessment and have failed to clear it, will receive only a performance 'Scorecard'.
  3. Students who do not meet any of the above criteria will not receive any certificate or scorecard.

Sample Certificate

Certificate

Meet the Mentor(s)

Career Outlook

  • Machine Learning (ML) is one of the fastest-growing tech domains, with a CAGR of over 30% and strong job security.

  • Upskilling in ML frameworks, cloud, and domain expertise is essential.

  • The global ML market is expected to grow from US$35.32 billion in 2024 to US$309.68 billion by 2032, exhibiting a CAGR of 30.5% during the forecast period.

  • The ML engineering job market is projected to reach $113.1 billion in 2025, growing to $503.4 billion by 2030.

  • Job postings for AI/ML roles surged by 61% globally in 2024, creating a 50% hiring gap due to a talent shortage.

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Career Outlook

Potential Job Roles

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TCS iON NPT

TCS iON NPT - Machine Learning

Offered by: TCS iON

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TCS iON NQT

TCS iON NQT

Offered by: TCS iON

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