IISc Certification | 10 Months | Interactive Live Online Programme | Avail Early Bird Scholarship
Avail Early Bird Scholarship
Deep Learning Engineer among top paid Artificial Intelligence roles in India
Top Deep Learning Career Opportunities
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.
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.
IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world
Ph.D., Computer Science and Automation, IISc, India
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).
TalentSprint Faculty Conducting Bridge Modules
PG Diploma, Computer Programming, AM Jain Institute of Management
Chief Learning Officer at TalentSprint, Asokan is an Industry Instructor, Instructional Designer, and Programming Guru, with a solid software development experience of over 35 years. He is an early adopter of open-source software. He has acted as a consultant in the FOSSEE project at IIT Bombay. He also launched India's first successful and profitable city portal. In the year 2015, he was recognized by CHRO ASIA as one of the 50 Most Influential Training & Development Professionals.
Ph.D., Computer Science, Calorx University, India
Dr. Habeebvulla is the Director of Delivery, Executive Programs at TalentSprint. Before joining TalentSprint, he served as an IT professional for over a decade, working in diverse roles like Software Developer and Technical Lead. He is a certified VEX Robotic Instructor from CMU (Carnegie Mellon University). His expertise lies in AI, Data Science, Machine Learning, Autonomous Robotic Navigation, OCR, Computer Vision, and Design Patterns.
Showcase your Deep Learning journey in the programme through various experiments and projects in a compelling manner.
1 Campus Visit of 3 Days
Dates will be decided keeping the safety of participants in mind. Fees will be based on actuals.
Education: Graduation (four years or equivalent)
Work Experience: Minimum 1 year
Coding Experience : Programming knowledge required
Aspiring and practising AI and Machine Learning professionals
The selection for the programme will be done by IISc and is strictly based on the education, work experience, and motivation of the participants.
|Details||Domestic Participants||International Participants|
Early Bird Fee
|18-month interest-free EMI
TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions and global corporations to develop and offer disruptive programmes. TalentSprint's state-of-the-art digital delivery platform delivers unique online and onsite experiences that help build cutting-edge expertise, for today and tomorrow. Funded by Nexus Venture Partners and NSDC, it is the recipient of several national and international awards including Dream Company To Work For 2017, Best Innovative Technology Organisation In Education Sector Award 2016, World HRD Congress HR Tech Leader Award 2014, CIO Review Company of the Year Award 2014, Silicon India Industry Performer of the Year Award 2014 and others. For more information please visit www.talentsprint.com.
Computers have gone much beyond mere computing numbers at a superhuman level. With Deep Learning, it seems computers might finally meet human-level performance or even surpass them in intuitive tasks like understanding spoken words, recognizing objects in an image, etc. Deep Learning has led to many technological breakthroughs. It is being used in investment modeling, fraud detection, autonomous cars, virtual assistants, super-computing, customer relationship management (CRM) systems, and facial recognition systems. Further, a lot of research is going on across the world to unleash its unfathomable potential. With such developments, Deep Learning is creating massive opportunities for professionals with the right skills.
Deep Learning is penetrating the industry at an unprecedented pace. In a way, almost every sector of the industry – healthcare, software, retail, manufacturing, and others is leveraging Deep Learning applications. As the adoption of these intelligent technologies increases, so is the demand for professionals with relevant Deep Learning capabilities. This demand will only escalate higher.
Here are the most promising Deep Learning career paths that you can aspire for:
IISc (Indian Institute of Science), Bangalore is India’s foremost academic institution that offers a world-class education in science, engineering, design, and management. The PG Level 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, eg: research & development (R&D) laboratories and industries, research scientists and engineers, to enable them to grow into competent managers of technology-intensive and data-driven organizations.
TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions and global corporations to develop and offer disruptive programmes. TalentSprint's state-of-the-art digital delivery platform delivers unique online and onsite experiences that help build cutting-edge expertise, for today and tomorrow.
Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IISc has chosen TalentSprint as its partner for executive education programmes in disruptive and emerging technologies.
The programme is ideal for aspiring and practising AI and Machine Learning professionals.