TCS iON Industry Honour Course - Reinforcement Learning

Offered By
TCS iON
in collaboration with

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

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

Course Summary

Reinforcement Learning (RL) is a field of Machine Learning that is concerned with how intelligent agents should act in an environment, so as to maximise the notion of cumulative reward. Generally, a Reinforcement Learning agent can perceive its environment, interpret it, and take action, as well as learn through trial and error. Reinforcement Learning, along with supervised learning and unsupervised learning, is one of the three basic paradigms used in Machine Learning.

+ Read More

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.

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

  • Reinforcement Learning (RL) is becoming increasingly prevalent in industrial automation due to its ability to learn optimal control policies through interaction with the environment, without the need for explicit programming.

  • The growth of the Reinforcement Learning market is expected to be propelled by the increasing adoption of industrial automation. Industrial automation involves the use of advanced technologies, control systems, and machinery to automate industrial processes and operations.

  • The Reinforcement Learning market size is expected to see exponential growth in the next few years. It will grow to US$26.64 billion in 2028 at a compound annual growth rate (CAGR) of 28.5%.

+ Read More

Career Outlook

Potential Job Roles

View Jobs

Get Certified with
TCS iON NPT

TCS iON NPT

TCS iON NPT - Machine Learning

Offered by: TCS iON

Step to
Dream Job

TCS iON NQT

TCS iON NQT

Offered by: TCS iON

Complete your Learning Path with

Connect with Us

If you want to know more about our products or have any other queries

Request a Callback

FAQs