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 is India’s premier institution for advanced scientific and technological research and education. It is one of the first three publicly funded institutes to be awarded the Institute of Eminence status.
The institution’s reputation and pre-eminence consistently feature it in global university rankings. The institution has been home to distinguished alumni who have had noteworthy academic and industry positions around the globe.
Recently, IISc has been recognized as the World's Top Research University by the QS World Rankings 2022. With a perfect 100/100 score in the "Citations per Faculty" metric, IISc is in the same league as Princeton, Havard, and MIT, becoming the 1st Indian varsity to accomplish such a feat. For more information, visit https://www.iisc.ac.in
TalentSprint, an National Stock Exchange (NSE) Group Company, brings high-end and deep-tech education to aspiring 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. 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. For more information, visit www.talentsprint.com.
The programme is best suited for aspiring and practising AI and Machine Learning professionals, data scientists, data architects looking for career enhancement. It is also suitable for leaders seeking to build Deep Learning driven organizations.
As an Institution of Eminence, IISc enjoys considerable autonomy. Certificate programs offered by the institution to working professionals, such as this program, are governed and fully approved by the IISc Centre for Continuing Education. The program complies with all the relevant regulations applicable.
Given the current crisis due to Covid-19, we understand that participants may have a challenge with cash flows. In order to enhance the programme fee payment flexibility, we have increased the tenure of our interest-free (0% EMI) loans. As a result of this, your financial burden gets reduced. You may contact your Relationship Manager for more details.
You will need the following infrastructure to access our platform:
Note: Proctored online assessments can be taken only on a Desktop/Laptop with a web camera and mic (not allowed on tablets/smartphones).
Groups can conveniently connect among themselves at an appointed time for group work, outside the online classes. This feature comes in handy during group activities and projects.
Students can also use the platform 24 x 7 to engage and learn from their peers using our interactive discussion forums available under each course of the programme.
Our platform also has the provision of group-specific discussion forums for offline discussion among the group members.
Our recorded videos have an AI-generated Table of Content (TOC) to enable easy and smart navigation within the videos. Students can click on the items under TOC to directly jump to the relevant section in a video. Video archives also have a Phrase Cloud of keywords/phrases used in the video. Students can click on a particular keyword/phrase to find yellow markers, indicating the points where the selected keyword/phrase was covered on the video timeline.
IISc conducts the selection process for the programme. Candidates are selected based on education, work experience and a statement of purpose submitted along with the application.
Candidates must have completed their graduation with at least 50% marks and a relevant experience of 1 year. In addition, programming experience is mandatory to join this programme
You can apply for this programme online by submitting your duly filled application.
Participants who are not holding an Indian Passport or are not residing in India will be considered as an International Participant.
Yes, the programme fee can be paid in interest-free installments through our finance partners. Please reach out to your RM to know about the details of the schemes available
The programme fee for PG Level Advanced Certification Programme in Deep Learning is ₹3,60,000 + GST.
For EMI details, visit Fee Page
No, the application fee is non-refundable.
No, the total programme fee is non-refundable.
Building deep-tech expertise is an absolute necessity for professionals in this fast-changing world continuously disrupted by technology.
Professionals have multiple options for funding.
Based on our experience in enabling thousands of professionals who have participated in our executive programs, self-funding seemed to be the most preferred option, with over 80% choosing this.
Three key reasons why professionals opt for it:
We have also observed that the commitment levels were higher among self-funding participants.
Mathematical Preliminaries and Data Visualization
Paradigms of Machine Learning
Deep Learning Architectures
Logistic regression, feedforward neural networks, backpropagation, deep networks, optimization algorithms for training deep networks, regularization, dropout, batch normalization, convolutional neural networks (CNN), recurrent neural networks (RNN), long short term memory (LSTM) networks. Attention in neural networks. Understanding deep networks. Case study: Different networks and training strategies for MNIST.
Deep Learning for Natural Language Processing
Introduction, Distributed word representations, Recurrent neural networks for language modeling, Long short-term memory networks, Convolutional neural networks for Text, Transformer networks, Contextual word representations, Modeling attention, Applications – Sentiment analysis, Machine translation, Reading comprehension, Textual entailment, Text classification.
Deep Learning for Speech and Audio Processing
Audio representations for deep learning, models in speech recognition, speaker and language recognition models. End-to-end deep networks, sequence-to-sequence encoder-decoder attention models. Audio event detection models. Case study: End-to-end speech recognition
Deep Learning for Computer Vision
Popular CNN architectures (AlexNet, VGG, ResNet, GoogleNet), transfer learning, autoencoders, object detection (FasterRCNN/Yolo), image segmentation (U-Net, DeepLab), generative adversarial networks (GAN) and variants, RNN and LSTM for image captioning/video Case studies: CNN training example on CIFAR-10 dataset, transfer learning from pre-trained network on ImageNet to cats/dogs, training Yolo for pedestrian detection.
Deep Reinforcement Learning
Introduction to sequential decision making under uncertainty, Markov Decision Process (MDP), Value function and Q-functions, Finite and Infinite Horizon problems, Value and policy iteration, Policy gradients, implementing RL algorithms with deep neural networks.
Deep Learning for IoT/Edge Devices
Overview of various ML hardware for IoT/Edge devices, Energy-efficiency, speed trade-off for the IoT/Edge devices, Optimization techniques to compress the ML model for Edge devices, Use cases of ultra-light ML algorithms on Edge devices.
Yes, this is a hands-on programme with sessions accompanied by practical industry-oriented exercises and online lab assignments. This helps you to assimilate theory into practice and master the concepts with one-to-one mentoring.
Yes, if you would like to solve a problem which you / your organization is facing, you will have to bring the data along. However, if you do not have the necessary data, you can choose from the available curated capstone projects.
Advanced Certificate in Digital Health and Imaging
Best Suited for Professionals having Basic Technology Skills
Certificate in Digital Health
Best Suited for Professionals with Medical & Pharma background
Interactive Live Online Classes
Interactive Live Online Classes
Programme Fee: Rs. 2.4L + GST
Scholarship: ₹72,000 (Early bird Scholarship)
EMI: 24-Month 0% EMI (₹8,260/Month)
Programme Fee: Rs. 1.2L + GST
Scholarship: ₹20,000 (Early bird Scholarship)
EMI: 24-Month 0% EMI (₹4,916/Month)
The online sessions will be held during the weekends, Saturdays & Sundays.
The programme will be delivered through faculty-led interactive live sessions on TalentSprint’s ipearl.ai
A part of the programme will be delivered at the IISc campus during the campus visit.
All reading material (pre/post session) will be shared regularly through the Online Learning Management System.
Batch 5 starts in September 2023.
The total duration of the programme is 10 months.
A certificate of successful completion is provided upon completion of all requirements of the programme. All examinations and evaluations related to the certification are carried out by IISc Bangalore.
All sessions are conducted by IISc Bangalore faculty. Industry experts may be invited to share their valuable experience.
The batch will consist of 50 participants or more..
IISc Campus Visit of 2 Days has been planned towards the end of the programme. The campus visit will be held depending on the pandemic situation. A decision on the same will be taken after the programme starts. In case the campus visit is not organized, the on-campus sessions will also be held via live interactive classes.
The campus visit is a crucial part of this programme. It facilitates an in-class experience of face-to-face sessions. Participants not only get an opportunity to meet the faculty members and network amongst themselves; they also get a chance to immerse in the rich academic environment of the Institute. They can avail the library facilities during their stay and also use the study areas and social spaces open to the entire community on the campus.
Yes, the campus visit, if scheduled, will be mandatory for the successful completion of the programme. However, if the campus visit is not held owing to the COVID-19 situation, the on-campus sessions will be delivered via live interactive classes.
The campus visit fee will be based on actuals.
During the campus visits, participants will be provided with accommodation at the Management Development Centre of IISc Bangalore.
Do not worry. In case you miss a session, you will be given access to view the recorded version of the session within a specified timeframe.
75% attendance for the sessions is the minimum attendance criteria for the programme. To complete the programme, you need to complete and submit all program submissions that may be due at your end.
All participants are required to execute, before the start of the program, an agreement that consists of the standard Programme Terms and Conditions. It has the following components:
IISc (Indian Institute of Science) is India's foremost academic institution for the pursuit of excellence in higher education & research. It offers world-class education in science, engineering, design, and management. IISc became a deemed university in 1958. It is one of the first six institutes to be awarded the Institute of Eminence status. The alumni of this Institute hold significant academic and industry positions around the globe. For more information visit iisc.ac.in
Established in 2010, TalentSprint is a part of the NSE group and a global edtech company that brings transformational high-end and deep-tech learning programs to young and experienced professionals. The company’s digital learning platform ipearl.ai offers a hybrid onsite/online experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world-class programs, certifications, and outcomes. Its programs have consistently seen a high engagement rate and customer delight. It is a leading Innovation Partner for the National Skill Development Corporation, an arm of the Ministry of Skill Development and Entrepreneurship, Government of India. A recipient of various prestigious accolades, TalentSprint was recently honoured with the Indian Achievers Award 2022, constituted by the Indian Achievers Forum for its excellence in building deeptech talent in India. For more information about TalentSprint, visit our website.