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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

The PG Diploma in Artificial Intelligence and Machine Learning is a collaborative offering by Edureka and the E&ICT Academy, NIT Warangal. It features 450+ hours of intensive learning, along with a comprehensive curriculum designed by industry experts and NITW professors. The carefully curated syllabus covers both beginner-level and advanced topics that suit the current industry standard. Thus, the course is beneficial for programmers and non-programmers looking to upskill or learn ML and AI.

The PG Diploma in Artificial Intelligence and Machine Learning will run for 11 months as a live instructor-led online course. The live classes will be scheduled on weekends to make it more convenient for working professionals. You can complete the programme with a weekly time commitment of 8-10 hours.

The Artificial Intelligence and Machine Learning programme include 20+ industry projects to provide you with hands-on experience and consolidate your learning. Moreover, there are 100+ case studies to provide a real-world understanding and knowledge. Upon completion, Edureka will also award you with its industry-recognized AI Certification.

The Highlights

Curriculum by E&ICT Academy, NITW
Placement Assistance
Dedicated Support Team
Unlimited LMS Access
E&ICT Academy, NITW Alumni Status
High-Quality Lab Environment
20+ Industry Projects
100+ Case Studies
Top Mentors
Globally-Recognised AI Certification
Live Instructor-led Online Classes
Career Assistance

Programme Offerings

Industry-recognised AI Certification
20+ projects
100+ case studies
Career Assistance Services
High-quality Lab Environment
24x7 expert support
Learning Management System
Live Instructor-led Learning

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	NIT Warangal

You can either pay the Artificial Intelligence and Machine Learning course fee upfront or through a monthly EMI plan.

Post Graduate Diploma in Artificial Intelligence and Machine Learning fee structure

Heads	Fee in INR
Program fee	Rs. 1,89,999 Including GST
Monthly EMIs	Rs. 9,999 /month

Eligibility Criteria

To pursue the PG Diploma in Artificial Intelligence and Machine Learning, you must have completed your graduation in BCA, MCA, B.Sc, or B.Tech. If not, you must hold a Diploma and basic programming knowledge. Also, you must have studied PCM in 10+2.

What you will learn

Natural Language ProcessingMachine learningKnowledge of PythonKnowledge of deep learning

During Edureka’ Artificial Intelligence and Machine Learning certification, you will learn the following concepts:

Predictive analytics
Natural language processing (NLP)
Python for AI-ML
Sequence learning
Deep learning
Machine learning

Admission Details

Step 1: Go to the Post Graduate Diploma in Artificial Intelligence and Machine Learning course webpage.

Step 2: Click on ‘Apply Now’ and furnish your name, email address, and phone number. An admissions counsellor from Edureka will contact you for further steps.

Step 3: An interview will be conducted to test your basic knowledge, experience, and expectations. After the interview, you will receive an offer letter.

Step 4: After Edureka’s experts review your interview performance and application, your course fee will be determined, and you’ll receive a batch allotment. Pay the fee upfront and begin learning.

Application Details

First, you must provide your name, email ID, and mobile number to apply for the programme. Admission counselors at Edureka will contact you to explain the next steps. Later, you will have to fill up an enrolment form for the PG Diploma in Artificial Intelligence and Machine Learning. Here, you must provide your personal, educational, and professional details.

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

Introduction to Sequence Learning
LSTM vs RNN with Google Stock Price
Sentiment Analysis on Zomato Reviews using LSTM
Introduction to Transformer model
BERT and GPT2 using Transformer
Machine Translation with MT5
Building a Question Answer prediction model with BERT
Doubt Clearing Session + End Course Test

Industry Grade Project

Instructors

NIT Warangal Frequently Asked Questions (FAQ's)

1: What are some of the career paths I can take after this course?

You can pursue a career as Data Analyst, Machine Learning Researcher, Data Science Software Engineer, Machine Learning Engineer, etc., after programme completion.

2: How much time per week is needed for this training?

You must put in 8-10 hours every week to complete the course.

3: Does the enrollment process include an interview?

Yes, you will have to go through a one-on-one interview, and you will be assessed on your performance.

4: Is graduation mandatory for this course?

While having a graduate degree is recommended, you can still apply if you have a Diploma and basic programming knowledge.

5: Does the course offer a refund if I opt out?

No, the PG Diploma in Artificial Intelligence and Machine Learning is a non-refundable course.