Post-Graduate Program in Artificial Intelligence & Machine Learning

Preview this course
Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry grade projects.
Application ends on 1st June Limited no. of seats available
NIT Warangal

Alumni Status Mentoring from NITW Professors Certificate from NITW View

Course Structure

9 Months Online Program 450+ hrs of live online learning 12+ Assignments & Projects

Career Assistance

Resume Building Mock Interviews Assured Interview Calls

Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

11.5M AI-ML jobs by 2026 - U.S Bureau of Labor Statistics

AI-ML market size will touch USD 8.81 billion by 2022

Average salary of Machine Learning Engineer is USD 144,000

Who is this program for?
  • img Beginners in the AI & ML space looking to kickstart their careers
  • imgAnyone with basic programming skills interested in the AI & ML space
  • img Data Scientists looking to get a big boost in their careers
  • img Professionals looking for a career transition into AI & ML
You will master
  • Predictive Analytics
  • Practical applications of AI and ML
  • Graphical models and Reinforcement Learning
  • Deep Learning
  • Python, TensorFlow, Keras, OpenAI Gym

PG Program in Machine Learning & AI

  • Ranked 4th among NITs by NIRF
  • Ranked among Top 50 Institutes in India
  • Designated as Institute of National Importance
Program Features
Mentorship from NITW faculty
Get career guidance and help with all your program related doubts from NIT Warangal’s faculty members
Placement Assistance
We will help you get absorbed into the recruitment process of the industry’s biggest organizations, many of whom are program partners
Alumni Status
Become a member of NIT Warangal’s alumni network and connect with your peers.
Industry Networking
Get the opportunity to connect and engage with, and learn from industry leaders and veterans
Program Syllabus
Applications of Python (2 Credits)
2 Assignments

Data Pre-processing

Data Manipulation

Data Visualization

GUI Programming

Computer Vision

Statistical Foundation


Inferential Statistics

Generalized Linear Models

Advanced Regression

Supervised Learning

Dimensionality Reduction

Unsupervised Learning

Association Rules Mining and Recommendation Systems

Time Series Analysis

Model Selection and Boosting

Bayesian Network

Markov's Network


Model Learning

Bandit Algorithms and Markov Decision Process

Dynamic Programming & Temporal Difference Methods

Deep Q Learning

Text Mining and NLP

Extracting, Cleaning and Pre-processing Text

Analyzing Sentence Structure

Text Classification

Understanding Neural Networks with TensorFlow

Deep dive into Neural Networks with TensorFlow

Master Deep Networks

Convolutional Neural Networks (CNN)

Recurrent Neural Networks (RNN)

Restricted Boltzman Machine (RBM) and Autoencoders

Keras API


450+ hrs live classes

12+ Assignments

2 Projects

Upto 3 industry projects

Industry Projects
An industry project will be a part of your program to consolidate your learning. Industry projects will ensure you have the real-world experience to start your career in AI & ML.
Building a Conversational ChatBot
Create a chatbot using Natural language processing ensembled with Neural Network and Reinforcement Learning algorithm for creating a state-of-the-art model.
Predictive Model for Auto Insurance
Create a predictive model for an auto insurance company using machine learning and deep learning algorithms to predict whether an owner will make an auto insurance claim in the next year.
E-commerce Website - Sales Prediction
Using machine learning models and neural network predict the sales for an E-commerce website, and create a brief report to show inferential data insights using visualization.
Mentors & Instructors
Our program is helmed by experienced faculty members from NIT Warangal and dedicated industry veterans with a background in Machine Learning, Artificial Intelligence, Data Science and more.
Dr. RBV Subramaanyam

Professor NITW

HOD of NITW’s Department of Computer Science and Engineering, Dr. Subramaanyam holds a Ph.D. from IIT Kharagpur.
Dr. DVLN Somayajulu

Professor NITW

Currently on Deputation as Director of IIITDM, Kurnool, Dr. Somayajulu did his Ph.D. from IIT Delhi.
Dr. P. Radha Krishna

Professor NITW

Dr. Radha Krishna is a former Principal Research Scientist with Infosys Labs and has a double Ph.D. from Osmania University and IIIT-Hyderabad.
Dr. V. Ravindranath

Professor JNTU Kakinada

HOD of JNTU Kakinada’s Mathematics department, Dr. Ravindranath’s specialties are Mathematical Statistics, Operations Research, and Data Mining.
Program Fee
Starting @


Total Program Fee ₹2,62,500 (Inclusive of all taxes)
Get a chance to win Scholarship upto ₹ 1.5 Lakh
Is this program for me?
If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.
The program is 9 months long and includes over 450 hours of intensive learning.
75% of the classes will be live while the rest would be self-paced.
You will never miss a class with Edureka. You can choose either of these options: View the recorded session of the class available in your LMS You can attend the missed session in another live batch
You will have access to NIT Warangal professors, instructors and our 24x7 support team to assist you with your queries.
Yes, you will be offered placement and resume building assistance. With industry partners on-board, we will ensure you have all the support you need to secure a job.
Yes, you will receive a Post-Graduate industry-recognized certificate from NIT Warangal upon successful completion of the course.
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
Candidates will have to complete a thorough online application process and attend telephonic interviews to be eligible to attend the program
Yes, this course can be undertaken by freshers who hold the necessary prerequisites.
A basic understanding of programming knowledge is required to enroll in this course.
Yes, every course applicant is eligible to apply for a scholarship.
The interview process has been designed by top business luminaries like Mr. Rajul Garg (Managing Partner, Leo capital), Mr. Ramakant Sharma (Co Founder, Livspace), Mr. Ananda Rao Ladi (Chief Learning Officer, Edureka) and Dr. DVLN Somayajulu (Professor, NITW) along with AI & ML Industry experts. The interviews will be conducted by subject matter experts with 10+ years of Industry experience.
No. All candidates will have to be available for a telephonic interview
You can make payments through internet banking, credit cards, debit cards, or UPI. If you cover the entire payment upfront, you will be discounted Rs. 10,000. You can also use Razorpay EMI and pay the fees in 4 separate instalments.
If you purchase using No Cost EMI which can be availed only on AMEX, Central Bank of India, Citi Bank, HDFC Bank, HSBC, ICICI Bank, IDBI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, State Bank of India, Standard Chartered Bank, Axis Bank, & Yes Bank cards, you will get a discount of Rs. 10,000. You can also pay the entire fee in 4 different instalments. All debit cards are accepted
You don’t have to pay any interest on the EMI. Edureka bears all the interest charged by your bank if the payment is made using NO cost EMI. In case, the payment is made using debit cards/RP EMI, no interest is levied.
Yes, you are eligible for a refund up to the 1st week of the program's commencement. We will refund the entire amount paid by you (except for Rs. 10,000 as operational cost). In case you are unable to continue learning in your batch, you also have the option to defer to another batch. Deferral will only be allowed if your batch has completed less than 50% of the program duration.