IIT Ropar Post Graduate Certificate Programme in Artificial Intelligence & Deep Learning

Course Starts: September 2020

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Admission: Open

Delivery Type

Live online instructor sessions (Direct to Device)

Course Duration

6 months

Deadline to Apply

20th September 2020

Course Fee

Rs.2,50,000/- + GST

Class Timings

Weekends (11:00 AM – 1:00 PM)

Course Overview

Artificial Intelligence (AI) and related technologies are revolutionising the way everyday world works. AI and Deep Learning (DL) are garnering a lot of attention of late because of some recent innovations – Alexa, Siri, humanoids and chatbots, to name a few. Given the increasing adoption of AI across industries, there is a growing demand for AI talent. In a LinkedIn report – 2020 Emerging Jobs Report India – featuring the top 15 emerging jobs, ‘AI Specialist’ stood at the number 2 position. Those aspiring to build a career in AI and DL can make a head-start with the Post Graduate Certificate in Artificial Intelligence & Deep Learning (PGCAIDL) program.  

Program Overview

Artificial Intelligence (AI) and related technologies are revolutionising the way everyday world works. AI and Deep Learning (DL) are garnering a lot of attention of late because of some recent innovations – Alexa, Siri, humanoids and chatbots, to name a few. Given the increasing adoption of AI across industries, there is a growing demand for AI talent. In a LinkedIn report – 2020 Emerging Jobs Report India – featuring the top 15 emerging jobs, ‘AI Specialist’ stood at the number 2 position. Those aspiring to build a career in AI and DL can make a head-start with the Post Graduate Certificate in Artificial Intelligence & Deep Learning (PGCAIDL) program.

Curriculum

Module 1 - Emerging Technologies and Al

  • Al in the context of emerging technologies
  • Al applications
  • History and evolution of Al
  • Al in industry
  • Future with Al

Learning Outcome
In this module, you will get introduced to Artificial Intelligence, its history, related terminologies and applications in industry. This will form the foundation for rest of your program.

Module 2 - Data is the New Oil

  • What is Data Science?
  • Who is a data scientist?
  • What is Big Data?
  • Tools and technologies
  • Handling Text data
  • Learning Outcome
    In this module, you will learn about foundations of Data Science. It is important that you are aware about the tools and technologies that are used for handling data.

Module 3 - Machine Learning

  • What is Machine Learning?
  • Supervised Learning: Regression and Classification
  • Unsupervised Learning: Clustering
  • Case studies/hands-on practice

Learning Outcome
In this module, you will learn about different machine learning algorithms and their applications. You will get hands-on practice with your very first predictions using machine learning models.

Module 4 - Programming with Tensorflow

  • Tensorflow installation/Setup
  • Tensorflow 1.0 programming concepts
  • Tensors
  • Computational Graphs & Sessions
  • Tensorflow 2.0

Learning Outcome
Tensoflow is an end-to-end open source platform for machine learning. It provides advantages like easy model building, robust ML production and powerful experimentation. In this module, you will get hands-on experience of programming with Tensorflow.

Module 5 - Deep Learning and Neural Networks

  • Introduction to Neural Networks
  • Biological Neuron
  • Perceptron structure
  • Perceptron training
  • Backpropagation
  • Deep Neural Networks - Multilayer
  • Keras API

Learning Outcome
Get introduced to the concept of a neuron and how multiple neurons can be used to construct an artificial neural network. Deep learning is a class of machine learning algorithms that progressively extract features for better understanding of the problem. You will learn about various deep learning models built using artificial neural networks.

Module 6 - Image Recognition

  • Computer vision and Open CV
  • Convolutional Neural Networks
  • Architecture
  • Pretrained models
  • Training a CNN model
  • Image Classification
  • Binary
  • Multiclass

Learning Outcome
One of the popular applications of Deep Learning is in image recognition. You will learn how to build complex image recognition and object detection models and apply them to solve business use cases.

Module 7 - Speech Recognition

  • How speech recognition works?
  • Natural Language Processing
  • Recurrent Neural Networks - RNN
  • Chatbots
  • Alexa Skills

Learning Outcome
Processing the naturally spoken language is one of the complex tasks faced by researchers. In this module, you will learn about Natural Language Processing and how Deep Learning models can be used to build speech recognition applications.

Module 8 - AI Applications

  • Working of a self-driving car
  • How drones work?
  • What is Deep Fake?

Learning Outcome
Learn about cutting edge application of Artificial Intelligence from self-driving cars to drones in the sky.

Module 9 - Capstone Project*

  • Classification of Chest X-rays
  • Build a chat bot catering to customer service

Learning Outcome
End-to-end project to apply the concepts taught in the program.


* Candidates get to choose a project from a list of Capstone Projects. Problem statement and data set will be provided. Students will be provided a Capstone Project consisting of the following:

  • Problem statement
  • Data set
  • Python based solution
  • Mentoring sessions for the students for the Capstone Project

While experienced faculty will provide supervision for the projects and assignments, project completion will be the responsibility of the student.

The TSW Advantage

Designed for working professionals, with weekend classes

Joint PG Certificate from IIT Ropar and TSW

IIT Ropar Executive Education Alumni status

Live online instructor-led sessions by top IIT faculty and industry experts

Industry validated curriculum

Hands-on projects to demonstrate skills

Industry mentoring

GPU access for training Deep Learning models

360 degree career support

Program Delivery

Pedagogy

Modules 1-8

  • Concept and demo videos
  • Live online instructor-led sessions
  • Activities (case studies, assignments and assessments)

Module 9 (Capstone Project)

  • Learners can choose from a variety of projects
  • Mentoring by experienced faculty and industry experts
Delivery
  • The program will be delivered in a two-way video/audio interactive mode.
  • Sessions will be delivered from IIT Ropar Studio on BCCL technology platform. Students will attend the lectures on their own devices (Laptop/Desktop/Tablet/Mobile).
  • Live online instructor-led sessions by top IIT faculty and industry experts.
  • Class Schedule

    2 live online instructor-led sessions every weekend (11:00 AM – 1:00 AM)

    Eligibility and Admission

    Eligibility

    • Bachelor’s degree with minimum 50% aggregate marks
    • No coding and mathematics background needed
    • Minimum 2 years of experience, preferably in software domain

    Admissions

    • Application Screening
    • Admission Test
    • Interview
    • Selection/Selection Admission

Programme Directors

Sample Certificate

  • Joint certificate from IIT Ropar and TSW
  • The certificates will be awarded in a convocation ceremony at IIT Ropar campus

Date and Fees

Programme Fees

₹ 2,50,000 + applicable GST

Option 1 (No Cost EMI)
Loan Amount₹ 2,50,000+ GST = ₹ 2,95,000
Loan Tenure12
Loan Interest0%
Loan EMI₹ 24,583
  • Processing fee of 1 % + applicable GST will be charged by the loan provider
  • One Advance EMI to be paid
OPTION 2 (RATE OF INTEREST)


Loan Amount₹ 2,50,000+ GST = ₹ 2,95,000
Total EMIs to be paid2436
Rate of Interest Model (Interest charged to learner)9.75% Flat P.A9.75% Flat P.A
STUDENT EMI1468910591