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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

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 AvailabilityCertificate Providing Authority
yesNIT 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 BCAMCAB.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

Knowledge of deep learningMachine learningNatural Language ProcessingKnowledge of Python

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


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.

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