IISc Certification | 10 Months | Interactive Live Online Programme |


5 Ways This Programme Gives You An Edge

  • Get Certified by IISc, World’s
    Top Research University*

  • Learn from an interdisciplinary
    team of leading IISc faculty

  • Get mentored by researchers
    and practitioners

  • Work on curated
    industry Capstone Projects

  • Establish a compelling portfolio of project work that demonstrates your expertise

  • Build your deep learning foundations
    and learn effective applications

Every Industry wants Intelligence


Deep Learning Engineer among top paid Artificial Intelligence roles in India


Top Deep Learning Career Opportunities

  • Deep Learning Engineer
  • Deep Learning R&D Engineer
  • Computer Vision and Deep Learning Engineer
  • Deep Learning Research Intern
  • Jr. Data Scientist
  • Deep Learning Developer
  • And more

About the Programme

The PG Level Advanced Certification Programme in Deep Learning (Foundations and Applications) enables professionals to build expertise in Deep Learning, starting from essential theoretical foundations to learning how to apply them in the real world effectively. The 10-month weekend programme is best suited for aspiring and practising AI and Machine Learning professionals with programming knowledge.

The programme creates a practical understanding of how Machine Learning algorithms can be developed and optimized for hardware. Such systems can be used in edge computing where power and performance are the major constraints. The interactive sessions will cover fundamentals of deep learning and its applications including speech, text, image, and video processing.

It is delivered in a unique 5-step learning process of LIVE online interactive sessions by IISc and TalentSprint faculty, capstone projects which start in the middle of the programme and continue till the end, mentorship, case studies, and campus visits to ensure fast-track learning.

IISc, with its expertise in multi-disciplinary sciences, is best positioned to offer this programme. Delivered in association with TalentSprint, the programme also connects you to its Deep Tech alumni network so that you can reap life-long career benefits.

About Indian Institute of Science

  • qs-rankingsQS World University
    Rankings #1 (2022)*
  • nirfIndia’s #1 University by NIRF (2016-20)
  • bharat-ratna2 Bharat Ratna Awardees
    (1954, 2014)
  • wur Times Higher Education
    #1 University in India (2020)
  • rurRUR World
    #62 (2020)

IISc (Indian Institute of Science) tops among the oldest and the finest higher education institutes in the world. 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 Advanced Certification Programme in Deep Learning will be delivered by IISc’s Centre for Continuing Education (CCE). CCE delivers courses suitably designed to meet the requirements of various target groups, e.g. aspiring research scientists, graduate engineers, young professionals, to enable them to grow into competent managers of technology-intensive and data-driven organizations. For more information visit http://cce.iisc.ac.in.

*Based on metric of Citations per Faculty

Learn from Leaders

IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world

Ph.D., Computer Science and Automation, IISc, India
Programme Coordinator

Professor and Chairperson of the Dept. of Computer Science and Automation, IISc. He is a fellow of the Indian Academy of Engineering. His research areas include Unsupervised Learning, Optimization, Autonomous Systems.

Ph.D., Electrical Communication Engineering, IISc, India

Assistant Professor in the Dept. of Electronic Systems Engineering, IISc. Previously a Postdoctoral Research Associate at University of Illinois at Urbana-Champaign. Recipient of Microsoft Research India Rising Star Award for the academic year 2010-2011. His research focuses on Communication Networks, Stochastic Systems, Federated Learning, Optimization and Game Theory.

Ph.D., Electrical Engineering, University of Southern California, USA

Associate Professor at the Dept. of Department of Electrical Engineering, IISc. Before joining IISc, he was a faculty fellow in the department of EE under the INSPIRE faculty fellowship programme. His research interests include Non-Linear Signal Processing Methods for Speech and Audio, Speech Production and its relation to Speech Perception, and Automatic Speech Recognition inspired by the Speech Production and Perception Link.

Ph.D., IISc, India

Professor at the Dept. of Computer Science and Automation, IISc. He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE). His research interests include Machine Learning and applications of Deep Learning.

Ph.D., Electrical Engineering, IISc, India

Associate Professor at the Dept. of Computational and Data Sciences, IISc. He has held postdoctoral positions at Universities across Europe and worked in industry before taking active interest in academics. His research interests include: Signal Processing, Compression, Machine Vision, Image/Video Processing, Pattern Recognition and Multimedia.

Ph.D., Computer Science, University of Wisconsin, USA

Associate Professor at the Dept. of the Computer Science & Automation, IISc. He is also an Associate Faculty at the Robert Bosch Centre for CPS at IISc. Prior to joining IISc, he was a tenured faculty member in the Dept. of Computer Science at Rutgers University, New Brunswick, NJ - USA. His research area includes Computer Systems Security

Ph.D., IISc, India

Associate Professor at the Dept. of Computer Science and Automation, IISc. His research interests include Statistical Network Analysis, Network Representation Learning, Spectral Graph Methods, Machine Learning in Low Data Regime, Sequential Decision-Making under Uncertainty and Deep Reinforcement Learning.

Ph.D., Neuromorphic Engineering, MARCS Research Institute, Western Sydney University, Australia

Assistant Professor at the Dept. of Electronic Systems Engineering, IISc. Before joining IISc, he worked as a Research Fellow at Johns Hopkins University. In addition, he worked with Texas Instruments, Singapore as a Sr. Integrated Circuit Design Engineer, designing IPs for mobile processors.His research areas include Neuromorphic Computing, Mixed Signal VLSI Systems, Analog/Digital ASIC design, and Machine Learning for Edge Computing.

Ph.D., Electrical and Computer Engineering, University of Texas at Austin, USA

Assistant Professor in the Dept. of Electrical Communication Engineering, IISc. Previously he worked with Qualcomm Research India, Bangalore. His research interests are broadly in Image and Video Signal Processing, Computer Vision, Machine Learning, and Information Theory.

Ph.D., Johns Hopkins University Baltimore, USA

Assistant Professor in the Dept. of Electrical Engineering, IISc. Previously he worked as Research Staff Member at the IBM T.J. Watson Research Center in Yorktown Heights, NY, USA. His research areas include Machine Learning, Deep Learning, Auditory Neuroscience, Speaker and Language Recognition, Speech Enhancement and Recognition.

Ph.D., Computer Science, Duke University, USA.

Mindtree Chair Professor in the Dept. of Computer Science and Automation, IISc. He also heads Visualization and Graphics Lab. Prior to joining IISc, he was a postdoctoral researcher in the Institute for Data Analysis and Visualization at University of California, Davis. His research areas include Scientific Visualization, Computational Geometry, and Computational Topology.

Ph.D., Computer Science, Indiana University, USA

Associate Professor at the Dept. of Computational and Data Sciences, IISc, and previously a Research Faculty at the University of Southern California (USC), Los Angeles, and a Postdoc at Microsoft Research, San Francisco. His research explores abstractions, algorithms and applications on Distributed Systems. These span Cloud and Edge Computing, Big Data Platforms and Internet of Things (IoT).


  • Bridge Module (Essential
    Math and Programming)**
  • Mathematical Foundations
    and Data Visualization
  • Paradigms of
    Machine Learning
  • Deep Learning
    and its Applications
  • Deploying
    AI Systems

Showcase your capabilities with real-world projects

Bring Your Own Project
(Learn to solve a problem which you / your organization is facing using Deep Learning)


Choose From Curated Capstone Projects

  • Brain Tumor
  • Fraud
  • Expression
  • And

Deep Learning Portfolio

Showcase your Deep Learning journey in the programme through various experiments and projects in a compelling manner.

**Strengthen your foundations in Math and Programming for your DeepTech learning journey.

Detailed Curriculum


onlineInteractive Online Classes

  • Faculty-led Interactive Sessions
  • Convenient Schedule
  • Direct to Device

View Details

1 Campus Visit of 3 Days
Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.

What should you expect from this Programme?

  • LearnLearn from Leading IISc Faculty
  • ReinforceReinforce Learning by Applying Concepts
  • NetworkNetwork with Experts at the forefront of Deep Learning Practises
  • EarnIISc Certification that will boost your resume

Career Accelerator

  • kaggle logo Compelling Profile
    Build a compelling professional profile with a DeepTech edge
  • kaggle logo Priority Career Access
    Get priority access to career opportunities in the industry
  • kaggle logo Elite Community
    Become a member of an exclusive community of DeepTech experts
  • kaggle logo Startup Mentorship
    Boost your startup ideas with professional mentorship

Know More


Education: Graduation (four years or equivalent)

Experience: Early (1-5 years) or mid (6-15 years) career tech professionals with active hands-on coding experience aspiring to build expertise in Deep Learning

Strengthen your foundations in Math and Programming through the Bridge Module by TalentSprint.

Enrolment Process

  • Application

    Apply for

  • Block Your Seat


  • Enrollment


  • Enrollment


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

Participant Profile

  • 55+Companies

  • 64%5+ Years of Exp.

  • 36%Developers

From Top Organizations

Wells Fargo
Bank of America
Fidelity Investments
Standard Chartered
Tech Mahindra
DXC Technology
McKinsey & Company

From Indian and Global Locations



Find out why professionals want to join the programme

"After decades of experience in the software industry, solving technical and business problems using traditional methods, I felt it's time to hone my skills in Deep Learning and be industry-relevant."
- Malay Sankar Barik, IT & Software

"I have previously worked on projects based on traditional machine learning algorithms and methods. Deep learning is where the new frontiers lie for me as a professional. I consider it as a necessary skill set to be able to relate with futuristic technologies that will define the profession of data science."
- Roopak Prajapat, FMCG

"My goal is to build deep knowledge in Deep Learning to handcraft AI applications in the following areas - Customer Acquisition, Manufacturing, R&D, and HR. The program complements my current skill set and will help me build a solid foundation in Deep Learning."
- Ruchi, IT & Software

"Deep Learning expertise will make my job easy, help enhance other Cloud Services and monitor them. I am also looking forward to finding new avenues with Deep Learning on Cloud."
- Alex, IT & Software

"I am looking forward to gaining an in-depth understanding of deep learning, AI, and reinforcement learning and use the same to lead data science projects in the organization."
- Arushi Rai, IT Solutions

"My company works on 5G and AI accelerator SoCs. I believe this programme will equip me with knowledge of the applications and internal workings of AI hardware. This will eventually help me work towards designing better accelerators."
- Harshita Prabha, Telecommunication

"I am looking forward to understanding Deep Learning in depth - its basics, concepts, and work on projects. I wish to explore career opportunities in this domain in the future."
- Vathsala, IT & Software

"I want to understand the importance of ML systems more mathematically and logically, which would improve the way I look at data. Hence I have enrolled for this programme."
- Navneeth, IT & Software

Note: These are edited versions based on the details submitted by various programme applicants.


Details Domestic Participants International Participants
Programme Fee ₹4,00,000
Early Bird Fee ₹2,80,000
Early Bird Fee $4,500

18-Month 0% EMI and Scholarships are available. Please contact your Relationship Manager for details.GST as applicable

who-should-attend2 Get a complimentary Bridge Module worth ₹25,000 to strengthen your foundations in Math and Programming for your DeepTech learning journey.

About TalentSprint

TalentSprint, a National Stock Exchange (NSE) Group Company, brings transformational high-end and deep-tech learning programs to emerging and experienced professionals in partnership with top academic institutions and global corporations. Its patent-pending, AI-powered, digital learning platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Its programs have consistently seen a high engagement rate and customer delight. For more information, visit www.talentsprint.com.


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