The Post Graduate Diploma in Artificial Intelligence Course is offered by NIT Warangal, which is among the top 40 colleges in India. The said program has been designed in a unique collaboration with Edureka. The AI & ML subjects to be taught and the expertise of the carefully selected group of professors are aimed at developing the next set of supremely skilled professionals.
A special focus has been laid on assembling the core team for this program. Being lead by the esteemed faculty of the E&ICT Academy at NIT Warangal, Edureka experts and Industry Veterans have jointly designed all aspects of this wonderful Post Graduate Diploma in Artificial Intelligence Course.
The Post Graduate Certification Program in AI & ML has been intertwined with Capstone and Live session projects placed strategically across the courseware. The options cover the Automotive industry, the Manufacturing segment, the Banking sector, and the Retail industry to name a few. The participants will be introduced to the role of Python in AI & ML, Predictive analysis, and Deep Learning.
Although work experience is not a mandatory requirement for this program, please be sure to mention it during the application stage, if applicable to you.
Education:
Students with a science background in 10+2, having finished a Bachelor’s degree, and an interest in making a career in Machine Learning can apply.
What you will learn
Machine learningKnowledge of PythonKnowledge of Artificial Intelligence
Upon completion of the Post Graduate Diploma in Artificial Intelligence Course, the students will master the following concepts:
The underlying principles of Python basics and Object-Oriented Programming
Develop a deep understanding of Predictive analytics
Participate in Machine Learning projects during the Post Graduate Certification Program
Gain a deep understanding of Neural networks
Explore potential digital disruptions through Natural Language Processing
Expertise to transform businesses with Auto Image captioning
The Post Graduate Diploma in Artificial Intelligence Course from NIT Warangal is designed and developed meticulously to cater to the needs of young professionals who want to take a deeper plunge into the world of possibilities of AI & ML. Prospective students with the following status will gain tremendously from this course:
Beginners in the AI & ML space looking to gain a formal education in this sector
Anyone with beginner-level programming skills with an interest in AI
Data Scientists looking for a specialization in their career
Professionals aspiring to transition into Artificial Intelligence
Admission Details
The admission steps are briefly outlined in the following section:
Enrolment form
Please provide your educational, professional, and basic personal details. Once your file is received, the Admissions Counselor will connect with you to take your candidature further.
Interview
This stage involves one-on-one interaction with our Subject Matter Experts to better gauge your basic knowledge, work experience, and your expectations from the course. After an assessment is made regarding your interview, you can expect an offer from us.
Confirmation Fees
To arrive at the final fee, your score from the scholarship form and interview performance will be clubbed. Once this is done, please pay your fee to confirm a place for yourself in the batch.
Batch Allotment
Post fee payment, you will receive course credentials and the learning journey will begin.
Application Details
The link to the application form is on the website. It opens as a simple form where you need to fill in information about your education and work experience.
The Syllabus
Python Basics I
Python Basics II
Introduction to NumPy & Pandas
Data Preprocessing & Manipulation
Data Visualization
Doubt Clearing Session + End Course Test
Python for AI-ML (Self-Paced)
Statistical Foundations
Probablity
Inferential Statistics
Regression
Doubt Clearing Session + End Course Test
Predictive Analytics (Self-Paced)
Introduction to Machine Learning
Supervised Learning - Classification
Supervised Learning - Classification II
Unsupervised Learning - Clustering
Recommendation System
Doubt Clearing Session + End Course Test
Machine Learning (Self-Paced)
ML Deployment in Cloud - Sagemaker (Self-Paced)
Mid Program Project - 1
Introduction to Deep Learning
Getting started with Tensorflow 2.0 with Tensor Board
Image Classification using CNN
TensorFlow Hub for Object Detection using Faster RCNN
Tensorflow for Deployment
Doubt Clearing Session + End Course Test
Real-time object detection using YOLO v4 (Self-paced)
Image Segmentation using Facebook Detectron 2.0 (Self-paced)
Data Tagging(VOTT) for Computer Vision (Self-paced)
Introduction to NLP with Spacy
Analyzing and Seggregating the News Headlines
Building a Resume Classifier
Building a intent based RASA Chatbot
NLP in Production
Doubt Clearing Session + End Course Test
Mid Program Project II
Module 1: Introduction to Sequence Learning
Module 2: RNN vs LSTM with Google Stock Price
Module 3: Sentiment Analysis on Zomato Reviews using LSTM
Module 4: Introduction to Transformer model
Module 5: BERT and GPT2 using Transformer
Module 6:Machine Translation with MT5 (Self-paced)
Module 7: Building a Question Answer prediction model using BERT (Self-paced)
Module 8: Doubt Clearing Session + End Course Test
Industry Grade Project
Instructors
NIT Warangal Frequently Asked Questions (FAQ's)
1: What are the support functions that will be made available to students in this course?
The course structure contains ample room to address the doubts of each individual with dedicated attention. Be rest assured that the faculty will be with you all along the journey.
2: What are the job prospects upon completion of this course?
Some of the Entry-level positions are Junior Data Scientist, Research Analyst, and Associate Machine Learning Engineer.
3: Who are the typical recruiting companies in this field?
Some of the most popular organizations include Microsoft, Samsung, PayPal, and Dunzo. However, of late, Management Consulting firms have also started showing significant interest.
4: What are the chances of getting a scholarship?
The decision of whether the scholarship is offered and its amount, if applicable is a function of your performance on the scholarship test.
5: Are there any internships in the AI & ML program?
There is an exhaustive industrial-grade Capstone project of 40 hours which will put all the learnings for use. This will play a key role in building professional networks for the career that will unfold afterward.
6: Are there any financing options available to enroll for this course?
Yes, the PG certificate course has tie-ups with select banks. Please approach the admissions team to get further details.
7: Which are some of the applications of AI & ML that will be discussed?
The applications of Artificial Intelligence are spread across the field of Education, Media, Personal & Consumer services, and Central government to name a few. These will be discussed in detail in the course.
8: What steps will be taken in for the job placements?
The career assistance services include career-oriented webinars, dedicated mentoring sessions, profile building assistance, and access to exclusive job feeds.