PG Level Advanced Certification in AI & Autonomous Systems

The PG Level Advanced Certification Programme in Artificial Intelligence and Autonomous Systems by IISc is a comprehensive 9-month program designed for tech professionals. This executive-friendly program combines theoretical foundations with practical applications, featuring 180 hours of immersive learning including campus visits.

Instructors:

Prof. Shalabh Bhatnagar

Prof. Shishir Kolathya

English

Course Start Date:
To be announced
Applications Deadline:
To be announced
Duration:
9 Months

₹ 2,80,000

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Overview

IISc's AI and Autonomous Systems program provides comprehensive training in cutting-edge technologies for building intelligent autonomous systems. Led by expert faculty and featuring hands-on projects, the program prepares professionals for leadership roles in AI-driven automation.

Why Technology & Analytics?

The program offers unique advantages including certification from India's #1 research institute, expert faculty, hands-on learning with real-world applications, and a curriculum aligned with industry needs.

What does this course have to offer?

Key Highlights

Industry-leading faculty
Comprehensive curriculum covering theory and practice
Hands-on experience with real-world projects
Campus visits and networking opportunities
Career advancement opportunities

Who is this programme for?

Tech professionals interested in AI/ML
Software engineers working on autonomous systems
R&D professionals in robotics and automation
Professionals seeking expertise in intelligent systems

Minimum Eligibility

B.Sc/M.Sc or B.Tech/BE with min. 50% marks or 4+ years experience
Coding experience in Python required
Exposure to Engineering Mathematics preferred

Who is the programme for?

The program follows a rigorous selection process including application review and committee evaluation. Candidates must submit educational certificates and work experience documents. The curriculum is delivered through live online sessions and campus visits.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans fundamental concepts to advanced applications in AI and autonomous systems. It includes modules on machine learning, deep learning, reinforcement learning, and practical applications in autonomous systems.

There are 7 semesters in this course

The program delivers comprehensive training through six modules covering probability and linear algebra fundamentals, machine learning basics, deep learning, sequential decision making, reinforcement learning algorithms, and applications to autonomous systems. Each module combines theoretical concepts with hands-on lab work.

Module 0: Bridge Module

Module 1: Introduction to Data Science and Machine Learning

Module 2: Introduction to Deep Learning

Module 3: Introduction to Sequential Decision Making and Reinforcement Learning

Module 4: Reinforcement Learning Algorithms

Module 5: RL Applications to Autonomous Systems

Capstone Project

Programme Length

9 months with weekend classes and a campus visit component

Tuition Fee

The program fee is ₹2,80,000 + 18% GST, with scholarship options available reducing it to ₹2,10,000 + GST. Various payment options including EMI facilities are available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program features live interactive sessions, hands-on projects, and state-of-the-art learning platform access. Students benefit from expert faculty guidance and peer learning opportunities.

University Experience

Students experience world-class facilities at IISc's campus during visits, engaging with leading researchers and accessing advanced labs and resources.

About the University

Established in 1909 with active support from Jamsetji Tata, IISc is India's premier public research university located in Bengaluru, Karnataka. The institute has evolved into a leading institution for higher education and advanced research in science, engineering, design, and management. With over 40 departments and centers, IISc offers diverse programs spanning sciences, engineering, and technology, maintaining its position as a global leader in research and innovation

#211

QS world ranking

#251-300*

The world ranking

2

NIRF overall rank

Affiliation & Recognition

Institute of Eminence

NAAC

all indian university

Imperial college london

Career services

IISc provides comprehensive career support through its Office of Career and Counselling and Placement (OCCAP). The institution offers extensive placement assistance, including pre-placement talks, training sessions, and grooming activities. Students receive personalized career guidance, interview preparation, and access to industry connections. The placement cell works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities. The institute maintains impressive placement records across undergraduate, postgraduate, and doctoral programs, with particular emphasis on research and technology sectors

86LPA

highest package

28LPA

average package

100%

placement rate

Top Recruiters

Course Start Date:
To be announced
Applications Deadline:
To be announced
Duration:
9 Months

₹ 2,80,000

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. Shalabh Bhatnagar

Professor in the Department of Computer Science and Automation and an Associate Faculty at the Robert Bosch Centre for Cyber-Physical Systems, IISc

Prof. Shalabh Bhatnagar is a Professor in the Department of Computer Science and Automation and an Associate Faculty at the Robert Bosch Centre for Cyber-Physical Systems, IISc. His research focuses on Stochastic Approximation Algorithms, Reinforcement Learning, Autonomous Systems, Smart Grids, and Vehicular Traffic Control. He heads the Stochastic Systems Laboratory at IISc and has authored numerous research papers and the book Stochastic Recursive Algorithms for Optimization. He has led projects for DRDO, Xerox, DST-GoI, and Texas Instruments and has received accolades like the Prof. Satish Dhawan Young Engineer Award (2013) and the Rajib Goyal Young Scientist Prize.

Prof. Shishir Kolathya

Assistant Professor at the Robert Bosch Center for Cyber-Physical Systems and the Department of Computer Science and Automation at IISc

Prof. Shishir Kolathya is an Assistant Professor at the Robert Bosch Center for Cyber-Physical Systems and the Department of Computer Science and Automation at IISc. His research focuses on Hybrid Robotic Systems, Safety-Critical Control, and the Application of Learning Theory to Legged Locomotion. He leads IISc’s Stochastic Robotics Lab, developing learning-based controllers for quadrupeds. Previously, he worked as an R&D Engineer at Tejas Networks, Bangalore, and as a Postdoctoral Fellow at Caltech, USA. His research primarily explores robotics, particularly Bipedal Robotic Locomotion.

Testimonials

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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.

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