Advanced Certification in Deep Learning – IISc Bangalore

The PG Level Advanced Certification Course in Deep Learning is offered by the Center of Continuing Education at IISc in collaboration with TalentSprint. This 10-month weekend program enables both aspiring and practicing AI/ML professionals to build expertise in Deep Learning. The program covers essential theoretical foundations and practical applications through a unique 5-step learning process including live interactive sessions, capstone projects, mentorship, case studies, and campus visits. Students gain hands-on experience in applying deep learning techniques to real-world scenarios while building a compelling portfolio. The program focuses on optimizing machine learning algorithms for hardware and edge computing systems, covering areas like speech, text, image, and video processing.

Instructors:

Prof. Chandramani Singh

Prof. Chetan Singh Thakur

English

Duration:
10 Months

₹ 3,72,000

Add to compare

Overview

The IISc Deep Learning program offers comprehensive training in advanced AI techniques, combining theoretical foundations with practical applications through expert faculty guidance and hands-on projects.

Why Technology & Analytics?

This program stands out for its unique blend of academic excellence from IISc faculty, industry-relevant curriculum, and practical experience through real-world projects and mentorship.

What does this course have to offer?

Key Highlights

Live interactive sessions by leading faculty
Two-day campus visit to IISc Bangalore
Mentorship from researchers and practitioners
Industry-relevant capstone projects
Comprehensive curriculum covering all aspects of deep learning

Who is this programme for?

Working professionals with coding experience
Aspiring AI/ML professionals
Data scientists and analysts
Software engineers
Research professionals

Minimum Eligibility

Graduation (BE, BTech, BSc, MSc etc) or Masters in Science/Engineering/Management
Minimum 1 year work experience
Active hands-on coding experience required

Who is the programme for?

The admission process involves submitting an application, document verification, and selection based on educational background and work experience. The academic structure includes weekend classes, practical sessions, and campus visits.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum covers mathematical foundations, machine learning basics, deep learning architectures, NLP, speech processing, computer vision, reinforcement learning, and edge computing applications.

There are 10 semesters in this course

The program delivers comprehensive coverage of deep learning fundamentals and applications through nine core modules plus capstone projects. Students learn theoretical foundations and practical implementations across various domains including computer vision, NLP, speech processing, and edge computing. The curriculum emphasizes hands-on experience through projects and case studies.

Module 0

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Programme Length

10-month weekend program with live interactive sessions

Flexible format suitable for working professionals

Two-day campus visit included

Tuition Fee

The program fee is ₹3,72,000 (₹2,79,000 with scholarship). EMI options start at ₹9,328 per month. International participant fee is $4,650 ($3,500 with scholarship). Application fee is ₹2,000.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program features live interactive sessions, hands-on projects, mentorship from industry experts and researchers, and a 2-day campus visit. Learning happens through TalentSprint's AI-powered digital platform.

University Experience

IISc provides world-class facilities and resources including research labs, library access, and networking opportunities with leading faculty and industry experts.

About the University

Founded in 1909 through the joint efforts of Jamsetji Tata, the Government of India, and the Maharaja of Mysore, IISc is India's premier institute for scientific research and higher education. Located in Bangalore, the institute has evolved from two departments to become the country's leading research institution, known as the "Tata Institute"

440 acres

Campus size

42+

Departments

4,000+

Students

Affiliation & Recognition

Institution of Eminence Status

Government of India Recognition

National Research Institution Status

Career services

IISc provides comprehensive research and career development support through multiple channels. The institute offers various postgraduate and Ph.D. programs, along with a dedicated four-year undergraduate program focused on research-oriented training in basic sciences. Through partnerships with industry and research institutions, students receive extensive opportunities for scientific advancement and career development

Duration:
10 Months

₹ 3,72,000

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

Prof. Chandramani Singh

Assistant Professor,Dept. of Electronic Systems Engineering IISc

Prof. Chandramani Singh is an Assistant Professor in the Dept. of Electronic Systems Engineering at IISc, India. His research expertise includes communication networks, stochastic systems, federated learning, and optimization. He was a Postdoctoral Research Associate at UIUC and a recipient of the Microsoft Research India Rising Star Award (2010-2011).

Prof. Chetan Singh Thakur

Associate Professor,Dept. of Electronic Systems Engineering at IISc

Prof. Chetan Singh Thakur is an Associate Professor in the Dept. of Electronic Systems Engineering at IISc. His research focuses on neuromorphic computing, VLSI systems, and machine learning for edge computing. Previously, he was a Research Fellow at Johns Hopkins University and a Senior IC Design Engineer at Texas Instruments, Singapore.

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.

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.

Instructor

Hardik Jeetendra Pandya

49 Students

1 Course

Distinguished Biomedical Engineering Expert and Medical Device Innovator

Hardik J. Pandya serves as Associate Professor in the Department of Electronic Systems Engineering at the Indian Institute of Science (IISc) Bangalore, where he leads three laboratories focused on biomedical device development. His academic journey includes a Ph.D. from IIT Delhi and postdoctoral research at both the University of Maryland and Harvard Medical School. His research focuses on developing minimally invasive and non-invasive diagnostic technologies for cancer and neurological conditions, with particular emphasis on brain, breast, head, and neck cancer diagnosis, as well as e-nose applications for diabetes screening. His significant contributions to the field are evidenced by 10 granted patents, 17 filed patents, and over 66 peer-reviewed publications in prestigious journals including Nature Microsystems and Nanoengineering. His excellence has been recognized through multiple awards including the Early Career Research Award (2017), ISSS Young Scientist Award (2020), and the DST Abdul Kalam Technology Innovation National Fellowship (2023). As a technical advisor to two Indian MedTech firms and founder of Scilogic Applied Research Private Limited, he actively works to translate biomedical innovations from laboratory to market.

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 unique about this programme?

Why Deep Learning?