Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Course Overview
The PG level advanced certification programme in deep learning is offered by the Indian Institute of Science in collaboration with the talent spirit. The course provides knowledge about deep learning and how to apply it in the real world. The course provides practical knowledge about the development of machine learning algorithms and their use for hardware. Moreover, the course will cover the fundamentals of deep learning and its application.
The PG-level advanced certification programme in deep learning will be held in online mode with English as a medium of instruction. A visit to the Indian Institute of Science will be arranged for the students at the beginning or end of the course. The course duration will be 10 months. The course classes will happen only at weekends. The course will be instructed by the faculty of the Indian Institute of Science. Also, industry experts will share their experience and knowledge about the course application in the real world with the students. The fee structure of the course is Rs. 3,72,000 which has to be paid online.
The Highlights
- Certificate of Completion
- 10 Months Duration Course
- Course Videos
- Recorded Videos
- Reading Material
- Module Assessment
- Quizzes
- Portfolio
- Practice Laboratory
- Campus visit of 3 days
Programme Offerings
- Deep Learning Course
- Certificate of completion
- Module Assessment
- quizzes
- Final Assessment
- Portfolio building
- course videos
- Reading Materials
- presentation
- Interactive Sessions.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IISc Bangalore |
Fees structure for Indian Participants
| Head | Amount in INR |
| Application Fee | Rs. 2,000 |
| Programme Fee | Rs. 3,72,000 |
| Program Fee with Scholarship | Rs. 2,79,000 |
EMI as low as ₹9,328/Month
Fees structure for International Participants
| Head | Amount in USD |
| Programme Fee for International Participants | $4,650 |
| With Scholarship | $3,500 |
Eligibility Criteria
A student must have completed the undergraduate programme and have a minimum of one year of work experience in any sector. A student has at least basic knowledge of programming and coding.
Certificate Qualifying Details
Students who will complete all the course modules successfully and pass all the module assessments and final assessments of the course. They will get a certificate of completion of the PG level advanced certification programme in a deep learning course.
What you will learn
The topics you will learn in the PG level advanced certification programme in deep learning are:
- About Deep Learning
- About Different Math Topics such as Statistics, Algebra
- What is Data Visualisation
- Difference between Supervised and Unsupervised Learning
- How to Secure Systems
- About Big Data Platforms
Who it is for
The PG level advanced certification programme in deep learning helps students who are aspiring or practising the role of AI and Machine Learning professionals, data scientists, and data architects to get promotion in their organisations. The course helps students who want to build their own deep learning-driven organisations. Professionals from healthcare, software, manufacturing, and other sectors will get knowledge about using deep learning applications in the growth of their organisations. Students can opt for new career opportunities such as deep learning engineers, junior data scientists, deep learning developers, etc after completing the PG level advanced certification programme in deep learning.
Admission Details
- For the PG level advanced certification programme in deep learning admission, students will have to register by using this link - https://talentsprint.com/course/deep-learning-iisc-bangalore
- Click on the ‘Registration’ button after opening the link given above.
- Students have to submit all the necessary details such as personal details, educational details, work experience and its details and contact details.
- Students will be selected on the basis of their education, work experience, and the statement of the purpose submitted along with the application form of the course.
- Next, students will pay the course fee through online mode.
- Students will enrol for the PG level advanced certification programme in deep learning after completing the steps mentioned above.
Application Details
Students will have to provide all the necessary information such as personal details, contact details, and educational details in the registration form of the PG level advanced certification programme in deep learning.
The Syllabus
- Linear Algebra
- Probability and Statistics
- Numerical Optimization for ML
- Data Visualization
- Supervised Learning
- Unsupervised Learning
- Logistic regression
- Neural Networks - CNN, RNN, LSTM
- Backpropagation, Deep networks
- Regularization, Dropout, Batch Normalization
- 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
- Graph Neural Networks
- Audio representations for deep learning
- Speech Recognition
- End-to-end deep networks
- Detection Models
- Popular CNN architectures
- Transfer learning, autoencoders
- Object detection,image segmentation
- RNN and LSTM for image captioning/video
- Introduction to sequential decision making under uncertainty
- Implementing RL algorithms with deep neural networks.
- Value functions, Finite and infinite Problems
- Overview of various ML hardware for IoT/Edge devices
- Energy Efficiency, IoT/Edge Devices
- Optimization techniques * ML Model for Edge Devices
- Deep Generative Models I
- Deep Generative Models II
- Semi and Self-supervised Learning I
- Semi and Self-supervised Learning II
Evaluation process
Students will have to appear for the final assessment of the PG level advanced certification programme in deep learning. Students will get a certificate of completion of the course after passing all the module assessments and final assessments of the course.