Data Analytics & Deep Learning Certificate - IIT Madras

A 6-month executive program providing advanced training in data analytics and deep learning. Features practical projects, industry tools, and comprehensive coverage of modern techniques.

4.8

Instructors:

Dr. Ranganathan Srinivasan

Prof. Pankaj Dutta

English

Course Start Date:
11th January 2025
Applications Deadline:
4th January 2025
Duration:
6-6 Months

₹ 1,45,000

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Overview

The program provides comprehensive training in large scale data analytics and deep learning, combining theoretical foundations with practical applications. Features expert instruction from IIT faculty and industry practitioners.

Why Technology & Analytics?

The program distinguishes itself through its balanced approach of theory (40%) and practice (60%), featuring hands-on experience with industry tools and frameworks. Certification from IIT Madras Pravartak.

What does this course have to offer?

Key Highlights

Six-month intensive program
One-day optional campus visit
Comprehensive curriculum
Industry expert sessions
Webinars
Capstone projects
Practical training
Career support

Who is this programme for?

Data scientists
ML engineers
Data analysts
Research scientists
BI analysts
Data engineers

Minimum Eligibility

Graduate/Postgraduate in Engineering
Mathematical/Computational Sciences
Programming basics preferred
Analytical mindset

Who is the programme for?

Selection based on application review and faculty approval. Requires engineering, mathematical, or computational sciences background.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans 23 modules plus webinars, covering data science fundamentals to advanced deep learning. Features hands-on training with tools like PyTorch and TensorFlow.

There are 36 semesters in this course

84 hours instructor-led training: 74 hours theory and hands-on, 10 hours webinars, plus one month capstone project.

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Module 12

Module 13

Module 14

Module 15

Module 16

Module 17

Module 18

Module 19

Module 20

Module 21

Module 22

Module 23

Case Study: Data Preparation

Case Study: Regression

Case Study: Logistic Regression and KNN

Case Study: Decision Trees

Case Study: DNN

Case Study: Computer Vision

Webinar 1

Webinar 2

Webinar 3

Webinar 4

Webinar 5

Webinar 6

Capstone Project

Programme Length

Six-month program with direct-to-device delivery. Optional one-day campus immersion at IITM Research Park.

Tuition Fee

Total program fee is ₹1,45,000 plus 18% GST. Initial registration fee of ₹10,000 followed by three installments. Early payment discount available.

Fee Structure

Payment options

Learning Experience

Students experience interactive learning through practical exercises and industry tools. Features 60% practical focus with real-world applications.

University Experience

IIT Madras provides comprehensive support through their technology innovation hub. Additional career support through TimesPro including job opportunities and interview preparation.

About the University

Established under the National Mission on Interdisciplinary Cyber-Physical Systems, IITM Pravartak Technology Innovation Hub is hosted by the Indian Institute of Technology Madras. The hub focuses on advancing research and development in the areas of Sensors, Networking, Actuators, and Control Systems (SNACS). It aims to foster collaboration among academia, industry, and government to create innovative solutions for societal challenges.

170

Total Projects

10+

Research Areas

31

Publications

Affiliation & Recognition

Department of Science and Technology, Government of India

National Mission on Interdisciplinary Cyber-Physical Systems

IIT Madras

Career services

The hub offers career development opportunities through partnerships with industry leaders and startups. It provides training programs aimed at equipping students with industry-ready skills in areas such as AI, machine learning, cybersecurity, and embedded systems. The hub also facilitates internships and project opportunities for students to gain practical experience.

1083

Skill Development Sessions

928

Job Opportunities Created

Course Start Date:
11th January 2025
Applications Deadline:
4th January 2025
Duration:
6-6 Months

₹ 1,45,000

Add to compare

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Dr. Ranganathan Srinivasan

Adjunct Professor, Indian Institute of Technology Madras

Dr. Ranganathan Srinivasan holds a Ph.D. in chemical engineering from Clarkson University, USA, and is currently an adjunct professor at IIT Madras. He has more than 25 years of experience at Honeywell in various roles.

Prof. Pankaj Dutta

Visiting faculty, Various IIMs

Prof. Pankaj Dutta is a Professor in Decision Sciences and Operations Research at School of Management, Indian Institute of Technology (IIT) Bombay, Mumbai, India. He holds a PhD degree from IIT Kharagpur, India.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.8 course rating

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Dr. Ranganathan Srinivasan

Adjunct Professor, Indian Institute of Technology Madras

Prof. Pankaj Dutta

Visiting faculty, Various IIMs

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What is the duration?

What are the eligibility criteria?

What tools are covered?