• India's #1University (2015-23) & Research Institute (2021-23)*
  • 10 Months
    Executive Friendly
  • 2-Day Campus Visits to
    IISc Banglore
  • 100% Live Interactive
  • *As per NIRF Ranking 2023

6 ways this Deep Learning course
gives you an edge

  • IISc Advantage Get Certified by Center for Continuing Education at IISc
  • Expert Faculty Learn from an interdisciplinary team of leading IISc faculty
  • 1:1 Mentoring Get mentored by researchers and practitioners
  • Distinctive Pedagogy Work on curated industry Capstone Projects
  • Smart Portfolio Establish a compelling portfolio of project work that demonstrates your expertise
  • Methodology 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 & Deep Learning Engineer
  • Deep Learning Research Intern
  • Jr. Data Scientist
  • Deep Learning Developer
  • And more

Overview of the programme

The PG Level Advanced Certification Course in Deep Learning is offered by the Center of Continuing Education at IISc in collaboration with TalentSprint is a 10-month weekend program that enables both aspiring and practicing AI/ML professionals to build expertise in Deep Learning. The program covers the essential theoretical foundations of deep learning and teaches students how to apply them in the real world effectively. The course is best suited for individuals with programming knowledge who want to create a practical understanding of how machine learning algorithms can be developed and optimized for hardware.

The program is delivered through a unique 5-step learning process that includes LIVE online interactive sessions by IISc and TalentSprint faculty, capstone projects, mentorship, case studies, and campus visits. This fast-track learning process ensures that students gain hands-on experience in applying deep learning techniques to real-world scenarios. Additionally, the program connects students to its Deep Tech alumni network, providing them with lifelong career benefits.

As a deep learning certification course, this program focuses on developing a practical understanding of optimizing machine learning algorithms for hardware to create edge computing systems. The interactive sessions cover the fundamentals of deep learning and its applications, including speech, text, image, and video processing. With its comprehensive curriculum, experienced faculty members, and unique learning process, this program offers a valuable opportunity for individuals who want to specialize in deep learning and advance their careers in the field of AI/ML.

IISc Edge

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 Center of Continuing Education at IISc offers the Advanced Certification Programme in Deep Learning program in collaboration with TalentSprint. 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

Deep Learning Course Curriculum

10 Weeks

  • Linear Algebra
  • Probability and Statistics
  • Numerical Optimization for ML
  • Data Visualization

2 Weeks

  • Supervised Learning
  • Unsupervised Learning

5 Weeks

  • Logistic regression
  • Neural Networks - CNN, RNN, LSTM
  • Backpropagation, Deep networks
  • Regularization, Dropout, Batch Normalization

5 Weeks

  • Introduction
  • Distributed word representations
  • Language Modeling, Convolutional neural networks for Text
  • GRUs, LSTMs for Language Modeling, Attention and Applications, GPT, BERTs and Variants
  • Recurrent Neural Networks (Unidirectional and Bidirectional), Machine Translation, POS, Sentence Classification, Text Generation

4 Weeks

  • Audio representations for deep learning
  • Speech Recognition
  • End-to-end deep networks
  • Detection Models

5 Weeks

  • Popular CNN architectures
  • Transfer learning, autoencoders
  • Object detection,image segmentation
  • RNN and LSTM for image captioning/video

3 Weeks

  • Introduction to sequential decision making under uncertainty
  • Implementing RL algorithms with deep neural networks.
  • Value functions, Finite and infinite Problems

4 Weeks

  • Overview of various ML hardware for IoT/Edge devices
  • Energy Efficiency, IoT/Edge Devices
  • Optimization techniques * ML Model for Edge Devices

5 Weeks

  • Deep Generative Models I
  • Deep Generative Models II
  • Semi and Self-supervised Learning I
  • Semi and Self-supervised Learning II

  • COVID-19 detection using acoustic sounds
  • Use of NLP models for solving simple Math Word Problems
  • Study of Practical BERT models for Sequence Labeling
  • Prompt Learning for Vision Language Models
  • Training a speech recogniser using data from speech synthesis
  • Training a Voice conversion model
  • Reinforcement Learning based Task Offloading in Mobile Edge Computing
  • Anomaly Detection in Industrial IoT
  • Federated Multi-Armed Bandits based Recommender System
  • Interpretable GAN Controls
  • Crafting Adversarial Samples for Deep Models
  • Monocular Depth Estimation
  • Text only training for Image Captioning
  • Zero-shot segmentation using Stable Diffusion
  • Open set zero shot classification via stable diffusion
  • Knowledge distillation for Speech Recognition
  • Time series forecasting via LLMs
  • Lesion Boundary Segmentation
  • Neural Models for Legal Judgement Prediction
  • Optic-Disk-Cup Segmentation and Classification
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 Detection
  • Fraud
  • Expression Identification
  • And More..

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

Tools covered

Apply Now

Detailed Curriculum

Learn from Leaders

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

Programme Coordinator

Prof. Chiranjib Bhattacharyya

Ph.D., Computer Science and Automation, IISc, India
Professor and Chairperson of the Dept. of Computer Science and Automation, IISc.

Research Expertise: Machine Learning, Convex Optimisation, Autonomous Systems.


Programme Faculty

Prof. Ambedkar Dukkipati

Ph.D., IISc, India
Professor at the Dept. of Computer Science and Automation, IISc.

Research Expertise: Network Analysis, spectral Graph Methods, Machine Learning in Low Data Regime, Sequential Decision Making under Uncertainty and Deep Reinforcement Learning.


Programme Faculty

Prof. Chandramani Singh

Ph.D., Electrical Communication Engineering, IISc, India
Assistant Professor in the Dept. of Electronic Systems Engineering, IISc.

Research Expertise: Communication Networks, Stochastic Systems, Federated Learning, Optimization and Game Theory.


Programme Faculty

Prof. Chetan Singh Thakur

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

Associate Professor at the Dept. of Electronic Systems Engineering, IISc.

Research Expertise: Neuromorphic Computing, Mixed Signal VLSI Systems, Analog/Digital ASIC design, and Machine Learning for Edge Computing.


Programme Faculty

Prof. Prasanta Kumar Gosh

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

Associate Professor at the Dept. of Department of Electrical Engineering, IISc.

Research Expertise: Non-Linear Signal Processing Methods for Speech and Audio, Speech Production and its relation to Speech Perception


Programme Faculty

Prof. Rajiv Soundararajan

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

Associate Professor in the Dept. of Electrical Communication Engineering, IISc.

Research Expertise: Image and Video Signal Processing, Computer Vision, Machine Learning, and Information Theory.


Programme Faculty

Prof. Shirish Shevade

Ph.D., IISc, India
Professor at the Dept. of Computer Science and Automation, IISc.

Research Expertise: Machine Learning, Natural Language Understanding, Applications of Deep Learning.


Programme Faculty

Prof. Sriram Ganapathy

Ph.D., Johns Hopkins University Baltimore, USA
Associate Professor in the Dept. of Electrical Engineering, IISc

Research Expertise: Machine Learning, Deep Learning, Auditory Neuroscience, Speaker and Language Recognition


Programme Faculty

Prof. Venkatesh Babu. R

Ph.D., Electrical Engineering, IISc, India
Professor at the Dept. of Computational and Data Sciences, IISc.

Research Expertise: Video Analytics, Multimedia, Image/Video Processing, Compression, Compressed Domain Processing, Computer Vision and Machine Learning.


Program Faculty

Prof. Vijay Natarajan

Ph.D., Computer Science, Duke University, USA.
Mindtree Chair Professor in the Dept. of Computer Science and Automation, IISc.

Research Expertise: Scientific Visualization, Computational Geometry, and Computational Topology.


Programme Faculty

Prof. Prathosh A P

Ph.D., Signal Processing & Machine Learning, IISc, India
Co-founder/Chief of Engineering, CogniAble Tech

Assistant Professor at the Department of Electrical Communication Engineering, IISc.

Research Expertise: Deep Representation Learning, Deep Learning, Machine Learning, Digital healthcare


How will I learn?

A high-impact format perfected for aspirants
  • 10 Months Executive friendly programme
  • IISc faculty members-led Live interactive classes, capstone projects, industry sessions and campus visits to IISc
  • 342 hours of immersive learning through classes, practicals, case studies, capstone projects and campus visit
  • Participants will have one campus visit of 2 days
  • Classes will be held every Saturday between 10:00 AM - 1:30 PM & 2:30 PM - 5:30 PM

The programme will be delivered on TalentSprint’s digital platform ipearl.ai

What should you expect from this Deep Learning Certification Course?

  • Learn
    Learn from leading IISc Faculty Members
  • Reinforce
    Reinforce Learning by Applying Concepts
  • Network
    Network with Experts at the forefront of Deep Learning Practises
  • Earn
    Certification by Center for Continuing Education at IISc that will boost your resume


  • Education: Graduation (BE, Btech, BSc, MSc etc) or Masters in Science | Engineering | Management (relevant)
  • Experience: Working professionals (with minimum 1 year of work experience) with active hands-on coding experience aspiring to build expertise in Deep Learning

Enrolment Process

    Apply for Programme

    Submit Details

    Await Selection

    Join Programme

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

Class Start - September 2024

Apply Now

Participant Profile

From Top Organizations

Bank of America
Fidelity Investments
Standard Chartered
Tech Mahindra
DXC Technology
McKinsey & Company
Aashaya Designs
Aditya Birla Group
ANZ Group Holdings Ltd
Collins Aerospace
JP Morgan
Magna electronics
Moschip Technologies
Mu sigma business solutions
The Math Company
TVS Credit
Wells Fargo

From Indian and Global Locations

Andhra Pradesh
Madhya Pradesh
Uttar Pradesh
West Bengal

Find out why professionals want to join the
Deep Learning course?

  • "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.

PG Level Deep Learning Certification Course: Fee

Application Fee₹2,000

Programme Fee ₹3,72,000 Program Fee with Scholarship ₹2,79,000 (18% GST extra as applicable)

Special Pricing for Corporates

Fees paid are non-refundable and non-transferable.

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

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 ₹9,328/Month

EMI Options

Loan Partners

Programme Fee for International Participants $4,650
With Scholarship $3,500

Deep learning Course: FAQs

  • Helps build an in-depth understanding of the Deep Learning areas and plan a career in the domain.
  • Designed by IISc, a premier institution for world-class education in science, engineering, and design.
  • Delivered by an interdisciplinary faculty at the forefront of research and industry practitioners in Deep Learning, AI and Machine Learning.
  • Mentorship by researchers and practitioners
  • Unique 5-step learning process of LIVE online faculty-led interactive sessions, curated Capstone Projects and Hackathons from the industry, mentorship, case studies, and campus visit.
  • Learn to build a compelling portfolio that demonstrating your specialization
  • Learn on TalentSprint’s interactive AI-powered digital delivery platform and get access to industry experts.
  • Executive-friendly format: attend weekend classes at the comfort of your home while continuing your job.

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:

  • Deep Learning Engineer
  • Deep Learning R&D Engineer
  • Deep Learning Research Intern
  • Jr. Data Scientist
  • Deep Learning Developer

    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.

    IISc has been consistently recognised as India’s #1 University and #1 Research Institute by the National Institutional Ranking Framework (NIRF) 2023 Ranking. For More information, visit: https://www.nirfindia.org/2023/Ranking.html

    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 ideal for aspiring and practising AI and Machine Learning professionals.

About Talentsprint