• India’s #1 University and
    Research Institute*

    *NIRF 2023

  • 9 Months Executive Friendly
    Programme
  • 180 Hours Immersive
    Learning
  • 2 Days Campus Visit
    at IISc

Robolution is the future

According to PwC, AI, robotics, automation, and autonomous machines will drive 70% of GDP growth between now and 2030 globally.

  • "84% of Indian organizations will scale up their RPA initiatives or achieve an enterprise-wide RPA deployment by 2025." 2
  • "The global installed robotics capacity is expected to cross 700,000 units by 2026." 3
  • "The autonomous navigation market to reach $13.5 Bn by 2030." 4 - Ministry of Electronics & Information Technology

Limited Seats Available

Apply Now

91-9154234704

High Impact Format

  • live-interactive-sessions Live Interactive Sessions With expert faculty from IISc
  • experiential-learning Experiential Learning Supported by use-cases and
    capstone projects
  • hi-tech-learning Hi-Tech Hi-Touch Learning
    with iPearl.ai     Access best-in-class digital
    content for 24x7 learning
  • iisc-campus Experience IISc campus 1 campus visit

Hear from our programme alumni

IISc Edge

IISc (Indian Institute of Science) is the oldest and the finest higher education institute of its kind in India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe. For more information visit https://www.iisc.ac.in/.

The PG Level Advanced Certification Programme on Artificial Intelligence and Autonomous Systems will be delivered by IISc’s Centre for Continuing Education (CCE) and TalentSprint. CCE delivers courses suitably designed to meet the requirements of various target groups - research & development (R&D) laboratories and industries, research scientists, and engineers, and enable them to grow into competent managers of technology-intensive and data-driven organizations. For more information, visit http://cce.iisc.ac.in

Expert Faculty

Taught by eminent IISc Faculty Group

Programme Coordinator

Prof. Ambedkar Dukkipati

Professor, Department of Computer Science
and Automation, IISc

Research Expertise: Statistical Machine Learning, Reinforcement Learning, and Deep Learning in Low data Regimes.

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Programme Faculty

Prof. Shishir Kolathya

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

Research Expertise: Hybrid robotic Systems, Safety Critical Control, Application of Learning Theory to Legged Locomotion

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Programme Faculty

Prof. Shalabh Bhatnagar

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

Research Expertise: Stochastic Approximation Algorithms, Stochastic Control, Reinforcement Learning, Simulation Optimization, Autonomous Systems, Vehicular Traffic Control, Smart Grids, Communication/Wireless Networks

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Curriculum

With the state-of-the-art curriculum, designed by IISc Faculty, gain an insight into
AI implementationin the modern context of autonomous systems with the
possibility to apply the learnings to real-world tasks.

Online Module – 12 Hours

  • Basics of Probability
  • Basics of Linear Algebra

Online Module – 27 Hours

  • Introduction to Machine Learning and Workflow and Applications
  • Linear and Logistic Regression: Optimization view
  • Data modeling with probabilistic methods
  • Perceptron and Hyperplane classifiers
  • Support vector Machines and Kernel Methods

Online Module – 12 Hours

  • Introduction to Neural Networks and Deep Learning
  • Multilayer perceptrons and training Neural networks
  • Back propagation algorithm
  • Convolutional Neural Networks
  • Recurrent Neural Networks and LSTMs

Online Module - 24 hours

Pre-requisites: Probability and Linear Algebra


  • Introduction and Real world examples
  • Sequential decision making under Uncertainity: Multi-armed Bandits
  • Markov Decision Process, Value and Q-functions, Finite and infinite horizon problems
  • Value and Policy iteration, Dynamic ProgramingMarkov Decision Process, Value and Q-functions, Finite and infinite horizon problems (Instructor: AD)
  • Policy evaluation with Monte-Carlo and Stochastic approximation (Instructor: AD)

Online Module – 36 Hours

Pre-requisites: Modules-1,2,3, and 4


  • Data-Driven Optimization
  • Model-free algorithms for policy evaluation – incremental update temporal difference learning, n-step temporal difference learning
  • Model-free least squares temporal difference learning, least squares policy evaluation, incremental least squares temporal difference learning
  • Model-free value-based algorithms for control – SARSA, Q-learning, Expected SARSA, Double Q-learning
  • Algorithms for on-policy prediction with value function approximation – linear approximation architectures (Fourier/Polynomial bases, tile coding, radial basis functions), non-linear approximation architectures (artificial neural networks)
  • Off-policy value-based algorithms with approximation – semi-gradient methods, gradient descent in Bellman error, gradient temporal difference learning, temporal difference with correction
  • Policy gradient algorithms – policy parameterization, REINFORCE: Monte-Carlo policy gradient, REINFORCE with baseline, Actor-Critic algorithms
  • Recent algorithms - Deep Q-network, Trust Region Policy Optimization, Proximal Policy Optimization, A2C, A3C

Online Module – 9 Hours

Pre-requisites: Modules-1,2,3, and 4


  • Deep RL demonstrations on simulated environments
  • Introduction to Robotics

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Detailed Curriculum

Participant Profile

Job Role

job-role

Experience

job-experience

From Top Organizations

top-organizations

All logos belongs to respective companies

Find out why professionals want to join this programme

  • "As an AI enthusiast, I hope to develop autonomous devices to assist in the cultivation of our agricultural lands. This course will assist me in implementing concepts spanning from weed eradication, pesticide spraying to irrigation. The majority will support the objective of increasing employment in the agricultural sector." Shekhar Padasalagi, Motorola Solutions, Software Engineer Manager
  • "My experience at HCL is mostly decorated by my hands-on involvement in data analytics, NLP, and software development. I look forward to adding a further dimension to my knowledge in AI/ML and continuing my career overseas. So, with my enrolment in this IISc's programme, I now hope to delve into the realm of autonomous systems." Varun Yadav, HCL Technologies, Senior Technical Lead
  • "As an R&D engineer, I am expected to have an in-depth knowledge of data processing and neural networks. This course on AI for autonomous systems will also provide me with an understanding of Machine Learning algorithms." Prakash, Tech Mahindra, Senior Staff Research and Development Engineer
  • "My present position involves working on projects involving autonomous vehicles. This course would allow me to deepen my understanding of autonomous system design and facilitate the completion of many related projects." Snehal, John Deere, Senior Lead Data Scientist, with 15+ years of experience

Is this programme for me?

  • Yes, if you are a tech professionals involved in the design and validation of
    autonomous systems across industries.

Eligibility

  • Qualification: B.Sc/M.Sc or any B.Tech (BE) degree in any engineering
    discipline with min. 50% marks or at least 4 years of job experience in the related field.
  • Coding Experience: Required, preferably in Python
  • Good to have: Exposure to Engineering Mathematics

Enrolment Process

    Apply for the Programme

    Submit Documents**

    Selection by IISc Committee*

    Join the Programme

    *Selection for the programme will be done by IISc and is strictly based on the education, work experience, and motivation of the participants.

    **Scanned copies to be submitted within 7 days 1. Education Certificate 2. Experience Letter/Latest Pay Slip

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What is the return on my investment?

By successfully completing the programme, you will increase your relevancy in projects that require the deployment of intelligent automation while also expanding your career opportunities through developing new-age skills.

Derive Actionable Insights for your business

  • neural-network Master Reinforcement Learning, Neural Networks
  • automate-decision-making Automate Critical Decision-Making
  • business-impactAmplify your organization’s business impact

Accelerate your Career Growth

  • ai-functionalities Implement an autonomous system with AI functionalities
  • certificateGet certified by the Centre for Continuing Education at IISc
  • industry-impactHave a holistic industry impact

Artificial Intelligence and
Autonomous Systems Course Fee

Application Fee₹2,000

Programme Fee ₹2,80,000 Program Fee with Scholarship ₹2,10,000 (18% GST extra as applicable)

Special Pricing for Corporates

Campus visit fee will be based on actuals and to be borne by the participants

Fees paid are non-refundable and non-transferable.

Modes of payment available


  • Internet Banking

  • Credit/Debit Card

  • UPI Payments

Easy Financing Options

12 Month 0% Interest Scheme / Interest-Based Schemes

EMI as low as ₹7,021/Month

EMI Options

Loan Partners

About TalentSprint

Frequently Asked Questions

Autonomous systems, robots, and AI are transforming business and society, boosting productivity and driving economic growth.

In a nutshell, autonomous systems are systems that can accomplish a task, achieve a goal, or interact with its surroundings with minimal to no human involvement. Some examples include self-driving cars, UAVs, smart manufacturing robots, care robots for the elderly, and virtual agents for training or support.

A study by Forbes reports that AI/ML, robotics, and autonomous machines are expected to drive 70% of GDP growth between now and 2030 globally. Further, the report also states that the massive adoption of autonomous systems could soon transition superpowers like America into a machine economy.

To fully move and embrace this intelligent system's future, companies need a skilled workforce to support these initiatives and help the organisation prepare for the future.

The PG Level Advanced Certification Programme on Artificial Intelligence and Autonomous Systems aims to prepare professionals to lead and navigate the era of intelligent automation.

The PG Level Advanced Certification Programme on Artificial Intelligence and Autonomous Systems by IISc, in association with TalentSprint, prepares professionals to become adept at managing and scaling intelligent automation initiatives in their organisations.

  • IISc edge: Get certified by IISc, the India's #1 University and #1 Research Institute*
  • High Impact Format: Leverage the distinctive pedagogy of LIVE Online Sessions, use-cases, industry interaction, capstone projects and campus visits.
  • Accomplished Faculty: Curriculum taught by an accomplished faculty group that dons research credentials from premier institutions and leading research groups at IISc.
  • Mentor Support: Opportunity for direct interaction with industry experts and practitioners
  • Experiential learning with iPearl: Attend live sessions on iPearl.ai -an award-winning AI-powered learning platform.

*As per NIRF Ranking 2023

  • The programme will help accelerate your professional growth. It will enable you to lead/empower your team in your organisation to build high-performance automation systems.
  • You could shift to new roles that require expertise in autonomous systems powered by AI. As per Gartner, by 2025, 90% of enterprises are likely to go hiring spree for roles like Automation Architect - one who guides investments through the lens of the automation strategy and ensures desired outcomes on its deployment.
  • As per World Economic Forum, 97 Mn new roles will be created by 2025 due to AI. Irrespective of the sector, expertise in AI will enable you to design and build robust decision-making systems for uncertain, dynamic environments.
  • Sectors like automobile, health, defense, manufacturing, and retail that have witnessed a massive adoption of autonomous systems are hiring AI-ready professionals who can scale intelligent automation initiatives of the organisation.
  • The global autonomous navigation market is expected to grow to $9.32 Bn by 2028. Companies coming under the space will need professionals who can build systems that can boost operational efficiency and give new dimensions to safety and user experience.

The programme is useful for tech professionals interested in learning AI/ML and reinforcement learning to design and build autonomous systems for applications across industries.

You will learn from eminent IISc faculty who hold academic and research credentials from the world’s best institutions. Meet your faculty here.

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Artificial Intelligence and Autonomous Systems Course Overview

Join the 9-month Artificial Intelligence and Autonomous Systems PG Level Certification by IISc Bangalore, designed for tech professionals. The course covers the state-of-the-art curriculum and insights into AI implementation in autonomous systems. It includes campus visits and online live interactive sessions, allowing candidates to apply their learnings to real-world tasks.

To be eligible for the course, candidates must possess a B.Sc/M.Sc or any B.Tech (BE) degree in any engineering discipline with a minimum of 50% marks or at least 4 years of job experience in the related field. Coding experience is required preferably in Python, and exposure to Engineering Mathematics is considered an added advantage.

Get certified and unlock your potential in Artificial Intelligence and Autonomous Systems with IISc Bangalore.

Apply Now