Certificate Programme in Advanced Deep Learning
The Certificate Programme in Advanced Deep Learning from IISc Bangalore offers an intensive exploration of deep neural networks, reinforcement learning, and advanced AI techniques. This 8-month program combines theoretical foundations with practical applications, featuring hands-on projects and industry-relevant tools.
Instructors:
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Course Start Date:
22nd December 2024
Application Deadline:
15th December 2024
Duration:
8-8 Months
₹ 1,99,000 - 2,34,820
Overview
The Certificate Programme in Advanced Deep Learning at IISc Bangalore is a comprehensive 8-month program designed for professionals and graduates seeking expertise in advanced deep learning techniques. The program combines theoretical foundations with practical applications through 244 hours of learning.
Why Technology & Analytics?
This program stands out for its rigorous curriculum designed by IISc Bangalore's expert faculty. It offers hands-on experience with industry tools, comprehensive coverage of deep learning and reinforcement learning concepts, and includes practical projects and case studies.
What does this course have to offer?
Key Highlights
136 hours of live sessions
30 hours capstone project
72 hours self-paced learning
6 hours campus immersion
Industry-relevant tools training
Career support services
Hands-on practical assignments
Who is this programme for?
Science or engineering graduates
Software and IT professionals
Research scholars
Tech enthusiasts
Professionals seeking ML/DL expertise
Aspiring AI engineers
Minimum Eligibility
B.Tech in any discipline
B.Sc in Mathematics/Statistics/Physics/Data Science/Computer Science
Selected through application review process
Who is the programme for?
The program features a comprehensive selection process based on application review. Assessment includes end-of-program MCQ exam (70%) and assignments/projects (30%). Minimum 50% marks and 75% attendance required for completion certificate.
Important Information
Selection process
How to apply?
Curriculum
The curriculum spans eight modules covering mathematical foundations, linear models, neural networks, deep learning models, reinforcement learning, and advanced algorithms. Each module includes practical assignments and hands-on experience with industry tools like PyTorch and Gym.
There are 10 semesters in this course
The program features eight comprehensive modules progressing from foundational concepts to advanced applications. It begins with mathematical basics and advances through neural networks, deep learning models, and reinforcement learning algorithms. Students complete practical assignments and a capstone project, gaining hands-on experience with industry-standard tools.
Module 1: Introduction and Basics
Module 2: Linear Models for Regression and Classification
Module 3: Foundations of Neural Networks
Module 4: Deep Learning and Models
Module 5: Foundations of Reinforcement Learning
Module 6: Model-Free Approaches under Full-State Information
Module 7: Model-Free Approaches with Parametric Optimisation
Module 8: Deep Reinforcement Learning Algorithms
Assignments and Projects
Tools
Programme Length
8 months with 244 total learning hours: 136 hours live sessions, 30 hours capstone project, 72 hours self-paced learning, and 6 hours optional campus immersion.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Professor, Dept of Computer Science and Automation, Indian Institute of Science Bangalore
Dr. Shalabh Bhatnagar received his Bachelor’s in Physics Hons. from the University of Delhi in 1988 and his Master’s and PhD from the Department of Electrical Engineering at the Indian Institute of Science in 1992 and 1997, respectively.
Honorary Professor, Indian Institute of Science Bangalore
Dr. P.S. Sastry received his B.Sc (Hons.) in Physics from IIT, Kharagpur in 1978, BE in Electrical Communications Engineering and PhD in Electrical Engineering, both from IISc, Bangalore in 1981 and 1985 respectively.
Tuition Fee
The Certificate Programme in Advanced Deep Learning by IISc Bangalore costs ₹2,34,820 including GST. The 8-month online course includes live sessions, hands-on projects, industry tools, career support, and flexible EMI options. Registration fee of ₹10,000 applies.
Fee Structure
Payment options
Learning Experience
Students experience a blend of live online sessions, self-paced learning, and practical projects. The program includes hands-on experience with PyTorch and Gym, interactive tutorials, and real-world case studies.
University Experience
The learning environment combines virtual classroom sessions with self-paced study and optional campus immersion. Students benefit from IISc Bangalore's expert faculty, career support services, and networking opportunities.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Established in 1909 with active support from Jamsetji Tata, IISc is India's premier public research university located in Bengaluru, Karnataka. The institute has evolved into a leading institution for higher education and advanced research in science, engineering, design, and management. With over 40 departments and centers, IISc offers diverse programs spanning sciences, engineering, and technology, maintaining its position as a global leader in research and innovation
#211
QS world ranking
#251-300*
The world ranking
2
NIRF overall rank
Affiliation & Recognition
Institute of Eminence
NAAC
all indian university
Imperial college london
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructor
Distinguished Biomedical Engineering Expert and Medical Device Innovator
Hardik J. Pandya serves as Associate Professor in the Department of Electronic Systems Engineering at the Indian Institute of Science (IISc) Bangalore, where he leads three laboratories focused on biomedical device development. His academic journey includes a Ph.D. from IIT Delhi and postdoctoral research at both the University of Maryland and Harvard Medical School. His research focuses on developing minimally invasive and non-invasive diagnostic technologies for cancer and neurological conditions, with particular emphasis on brain, breast, head, and neck cancer diagnosis, as well as e-nose applications for diabetes screening. His significant contributions to the field are evidenced by 10 granted patents, 17 filed patents, and over 66 peer-reviewed publications in prestigious journals including Nature Microsystems and Nanoengineering. His excellence has been recognized through multiple awards including the Early Career Research Award (2017), ISSS Young Scientist Award (2020), and the DST Abdul Kalam Technology Innovation National Fellowship (2023). As a technical advisor to two Indian MedTech firms and founder of Scilogic Applied Research Private Limited, he actively works to translate biomedical innovations from laboratory to market.
Career services
IISc provides comprehensive career support through its Office of Career and Counselling and Placement (OCCAP). The institution offers extensive placement assistance, including pre-placement talks, training sessions, and grooming activities. Students receive personalized career guidance, interview preparation, and access to industry connections. The placement cell works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities. The institute maintains impressive placement records across undergraduate, postgraduate, and doctoral programs, with particular emphasis on research and technology sectors
86LPA
highest package
28LPA
average package
100%
placement rate
Top Recruiters
Course Start Date:
22nd December 2024
Application Deadline:
15th December 2024
Duration:
8-8 Months
₹ 1,99,000 - 2,34,820
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.