Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure

Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Reinforcement Learning program focuses on studying the mathematical grounds of reinforcement learning- a psychological phenomenon. Students will explore such concepts and view this learning paradigm in light of AI, research, and psychology. Through this AICTE approved course, learners can avail a verified certificate that validates their newly acquired expertise and acquired skills.

Spread across 12 weeks, the Reinforcement Learning certification syllabus is replete with learning modules, books, and research references. Students may proceed to the next module after completing the previous week’s topics. The curriculum highlights bandit algorithms, function approximation, hierarchical RL, and much more. It is an elective course based on AI, data science, and computer engineering.

The Reinforcement Learning online course is developed by IIT Madras. Professor Balaraman Ravindran from the institute instructs the study. For the certification, students need to write a proctored examination after completing the course and assignments. This certificate will carry logos of IIT Madras and NPTEL, which is verifiable on NPTEL’s website.

The Highlights

Assignments
12-week program
Undergraduate/Postgraduate -level curriculum
Payable certificates (e-verifiable)
Final proctored examination
Ongoing course
AI, Computer Science, Data Science, and Engineering
Elective training
Online training
Free learning
Illustrated examples
Swayam and NPTEL’s e-verified certificate

Programme Offerings

Online FDP learning
assignments
E-certificate
Certification verifiable
12-week program
PG/UG level training
Ongoing AICTE approved course
Final proctored exam
video lectures
Elective curriculum
Free access

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Madras

The video tutorials of the Reinforcement Learning certification syllabus can be accessed free of cost. For writing the proctored examination as a part of the certification qualifying criteria, candidates need to pay Rs 1,000. Have a look at the detailed structure below:

Reinforcement Learning course fee structure

Online course details	Fees
Reinforcement Learning course	Free
Certificate exam	Rs 1,000

Eligibility Criteria

Moreover, for the Reinforcement Learning certification, students must qualify in the assignments and a proctored examination. A score of 10 or more out of 25 in the assignments and 30 or more out of 75 in the exam will secure the e-certificate.

What you will learn

Mathematical skillProgramming skills

Learners of the Reinforcement Learning certification course will become adept in:

Partially Observable Markov Decision Processes (POMDPs)
Bellman optimality
Bandit algorithms- PAC, UCB
Approximating functions
Hierarchical RL
Markov Decision Processes (MDPs)

Who it is for

Anyone interested in learning the mathematical concepts of reinforcement learning will benefit from the Reinforcement Learning training.

Admission Details

Step 1. Glance through the Reinforcement Learning training on the website: Reinforcement Learning - Course (nptel.ac.in).

Step 2. Select the register option available on the top.

Step 3. Login into Swayam to register for the course. Use a Google/Facebook/Microsoft/pre-existing Swayam account. If not, create a new account with another email ID.

Step 4. After successfully logging in to Swayam’s website, begin learning by adding the course to your dashboard on Swayam.

Application Details

The Reinforcement Learning certification does not need its applicants to fill a form to confirm admission. Having a learning account with Swayam is enough to register for the course. Students can create a new account anytime by entering their email ID, username, and password of their choice.

The Syllabus

Evaluation process

To appear for the certifying test, students must register through a link available on the website. The final exam for the Reinforcement Learning course is a proctored offline examination at designated timings and centers. Candidates must choose their preferred city and slot timing (9am-12pm/ 2pm-5pm). It carries a total of 100 marks, out of which 75% will be considered for the final score.