A Comprehensive Deep Learning Program Taught by IIT Bombay Faculty

Deep Learning Certificate Program

  • Online learning
  • 3 months
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  • learning partner AWS educate

India's Most Comprehensive Deep Learning Program

Deep Learning Certificate Course is a 3-month structured online course which covers the foundation of deep learning, Neural Network, Computer Vision, NLP and more.

Great Learning Hours

80+ hours of learning

great-learning-hands-on-project

Hands-on projects

Great Learning Live Support

Live support sessions

Great Learning Certificate

Great Lakes certificate

Great Learning gpu-lab

GPU accelerated cloud lab

Great Learning industry session

Industry sessions

Learn From IIT Bombay & Great Lakes Faculty

Dr. Arjun Jain

Adjunct Faculty Member, Department of Computational and Data Sciences, IISc

Deep Learning and Computer Vision

Dr. Jain is the co-founder of Perceptive Code, a Silicon Valley AI startup that builds intelligence into automobiles using Deep Learning. He is part of the Theano development team and a contributor to Torch - both of which are widely used libraries for Deep Learning.

Dr. Jain received his PhD from the Max Planck Institute in Germany and his post-doc from NYU where he worked with Yann LeCun.

Dr. Amit Sethi

Faculty, IIT Bombay

Image Processing and Machine Learning

Prof. Sethi is currently a faculty member at IIT Bombay where his research is focused on applying deep learning methodologies to digital pathology for analysis of cancer tissues. He was previously a faculty member at IIT Guwahati and spent many years at ZS Associates, a leading management consulting firm, at their offices in Chicago.

Prof. Sethi holds MS and PhD degrees from University of Illinois at Urbana-Champaign and BTech from IIT Delhi.

Prof. Mukesh Rao

Faculty, Great Learning

Machine Learning

Prof. Mukesh Rao has almost 3 decades of experience in the Analytics and Machine Learning industry. He has designed and implemented Machine Learning algorithms for abuse detection, social media analysis and report generation using MapReduce. Prior to this, Prof. Rao was with Wipro for over 12 years where he was the Head of PM Academy.

Learn From IIT Bombay & Great Lakes Faculty

Dr. Arjun Jain

Adjunct Faculty Member, Department of Computational and Data Sciences, IISc

Deep Learning and Computer Vision

Dr. Jain is the co-founder of Perceptive Code, a Silicon Valley AI startup that builds intelligence into automobiles using Deep Learning. He is part of the Theano development team and a contributor to Torch - both of which are widely used libraries for Deep Learning.

Dr. Jain received his PhD from the Max Planck Institute in Germany and his post-doc from NYU where he worked with Yann LeCun.

Dr. Amit Sethi

Faculty, IIT Bombay

Image Processing and Machine Learning

Prof. Sethi is currently a faculty member at IIT Bombay where his research is focused on applying deep learning methodologies to digital pathology for analysis of cancer tissues. He was previously a faculty member at IIT Guwahati and spent many years at ZS Associates, a leading management consulting firm, at their offices in Chicago.

Prof. Sethi holds MS and PhD degrees from University of Illinois at Urbana-Champaign and BTech from IIT Delhi.

Prof. Mukesh Rao

Faculty, Great Learning

Machine Learning

Prof. Mukesh Rao has almost 3 decades of experience in the Analytics and Machine Learning industry. He has designed and implemented Machine Learning algorithms for abuse detection, social media analysis and report generation using MapReduce. Prior to this, Prof. Rao was with Wipro for over 12 years where he was the Head of PM Academy.

The Deep Learning Course Learning Experience

Great Learning - Deep Learning certificate program by Arjun Jain
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World class faculty

Our faculty has been integral to the development and widespread adoption of Deep Learning. They have taught at the best institutions in the world and have worked with the likes of Yann LeCun, a founding father of Convolutional Networks. Our faculty has also spent years honing their craft in the financial, automotive and healthcare industries.

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Guided hands-on projects

Build confidence in your ability to build functional models through a series of industry-relevant deep learning projects. These hands-on projects, with guidance from the program’s learning support team, will give you an opportunity to learn by doing. Through this course, you will build an ePortfolio to showcase your expertise to the world.

Great Learning Reasons-4
Structured learning

The Deep Learning Course takes a step-by-step approach to learning as we walk you through all the elements of neural networks, deep learning and their application to computer vision and natural language processing. Every week, the learning content will be augmented by learning support sessions that will answer your questions and guide you through projects.

Great Learning gpu-lab
Labs with GPU access

Work on accelerated computing platforms with GPUs powered by AWS Educate and others that you will need to build and test deep learning models on complex data sets. You can access this lab from anywhere and won’t need to struggle with lack of computing power and incompatibility issues. Every student will receive $75 credits to work on AWS powered GPU labs in addition to access to free resources available.

India's Most Comprehensive Deep Learning Course

IIT Bombay Faculty | GPU Accelerate AI Lab

Program Structure

A structured 3-month online course with hands-on projects and learning support sessions on weekends

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Online content

Best-in-class content from expert faculty and industry sessions

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Hands-on projects

Solve real-world problems using widely used deep learning techniques

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Weekly learning support sessions

Live support sessions to guide your learning journey

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Deep Learning.

Great Learning - Deep Learning Certificate
Great Learning deep learning academic eportfolio

Curriculum

  • Python for Data Science
  • Linear Algebra - Vectors, Matrices, Tensors
  • Optimization techniques like Gradient Descent
  • Necessary statistics, probability and differential calculus
  • Neural Networks
  • Building blocks - feedforward, backpropagation, activation functions, hyperparameters, gradient descent, softmax, cross entropy loss
  • Deep neural networks
  • Implementing deep neural networks - learning rate, hyperparameter selection, weight initialization
  • Convolutional Neural Networks (CNN)
  • Image processing using CNN
  • Pre-processing, semantic segmentation, localization and detection
  • CNN architectures and Transfer Learning
  • Recurrent Neural Networks (RNN)
  • Long-short term memory (LSTM)
  • Common NLP techniques - Bag of words, POS tagging, tokenization, stop words
  • Word embedding - word2vec, GloVe
  • Sentiment analysis, Machine translation
Participants who complete the AWS specialization will get
  • done Additional Online Badges from AWS Educate including adding Alexa skills, upon successful completion of the learning pathways
  • done Access to AWS Educate Job Board for relevant Job Opportunities around the world
learning partner AWS educate
  • Official AWS Educate Learning Path - Machine Learning Scientist
  • Introduction to voice technology with Alexa badge
  • Introduction to Reinforcement Learning with AWS DeepLens
Languages and tools
  • Python
  • Python libraries such as Pandas, Numpy, Scipy, Scikit-learn
  • Visualization libraries such as Matplotlib
  • Natural language processing libraries such as NLTK
  • Deep learning packages such as TensorFlow and Keras
  • Github repositories

Projects

You'll work on three projects spread across Neural networks, Computer vision and Natural language processing. You will work on these projects using our GPU-enabled lab that will help you learn and solve problems without buying or installing the computing infrastructure yourself.

Computer Vision

Face Recognition

Natural Language Processing

Fake News Detection

Neural Networks

Recognizing numbers or text in photographs

Learning Outcomes

  • done Learn to use Python, Tensorflow and Keras to develop deep learning applications.
  • done Learn deep learning methodologies to process not only image based datasets but also raw text, numbers etc.
  • done Develop ability to independently solve business problems using deep learning techniques.
  • done Develop a verified portfolio with hands on deep learning projects that will showcase the new skills acquired to employers.
  • done Become proficient with AWS for Deep Learning.
  • done Ability to build, train, and deploy Deep Learning models in Cloud using AWS.
Great Learning - Program learning outcomes

Admission Details

Eligibility

  • done We recommend applicants to have at least 2 years of programming experience.
  • done Familiarity with statistics, algebra, probability and exposure to data analysis is preferred.
Grear Learning admission and selection process

Selection Process

Step 1

Fill application form

Step 2

Application review

Post application you will need to go through a screening call with the Admission Director's office.

Step 3

Final Selection

Your profile along with the review from the screening call will be shared with the Program Director for final selection.

Fee Details

Great Learning rupee icon 75,000 + GST

Fee Includes

80+ hours of learning

Live support and industry sessions

GPU lab for projects

Payments

Candidates can pay the course fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

Candidates can pay the course fee in 2 equal parts. We also have tie up with various banks that provide an EMI option to candidates.

Upcoming Application Deadline

Today

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

The Deep Learning certificate is awarded by Great Lakes Executive Learning. Please note that certificate for Deep Learning Certificate Program is not issued by IIT Bombay.
Learning support sessions are interactive Q&A sessions conducted live during the course of the program for students to clarify their doubts, and receive guidance on how to advance their project work.
We recommend the candidates to have at least 2 years of professional experience in a technical role and have basic knowledge of probability, statistics and programming language. Having said that, we also offer introductory courses on Statistics and python to familiarise the students with.
The Deep Learning Course is taught by prominent IIT Bombay and Great Lakes faculties and experienced analytics professionals. Access the faculty section for further details.
The program includes various hands-on Real-world projects. You will analyse problems using a range of tools & techniques that you have learned in the class. We also offer learning support sessions to help students with their queries on projects.
We provide an accelerated computing lab with GPUs and all the relevant tools that you will need to complete your projects. You can access this lab online from anywhere.
No. The content is not downloadable. However, we believe that learning should be continuous and hence, all the learning material in terms of lectures and reading content would be available to you on the LMS even after the completion of the course.
The Deep Learning Course is a holistic and rigorous program and follows a continuous evaluation scheme. Quizzes and experiential learning projects help us evaluate a candidate's understanding of the concepts learned.
Candidates do have a provision to pay the fees in 2 equal installments. Further we also have tie-ups with leading banks who provide EMIs for the program. Please contact the admissions helpline at +91 99166 00701 for more details.
The Deep Learning course is designed to engage participants every week. All participants are required to learn from videos every week. However, attending leaning support sessions is optional, but recommended. You need to attend it only if you need to clarify your doubts regarding projects.
All projects are mandatory and evaluated. If you miss a project, you will not be eligible to earn the certificate.
Python, Keras, Tensorflow, Natural Language Toolkit, Github

The Exhausting Deep Learning Course

These days the world is becoming automated and we use automated gadgets in our daily lives. In order to understand about deep learning, you will need to have a basic understanding of what is artificial intelligence and machine learning. It is also necessary to know about the limitations of machine learning which inspired and contributed to the invention of deep learning.

What is Artificial Intelligence?

Artificial Intelligence promotes the automation of regular services. Artificial intelligence is basically automating the machines to perform human tasks in a most accurate and efficient manner. Artificial Intelligence is a method of training the systems and software to act like humans and imitate human behaviour. This is strongly applied to make efficient decisions.

Speech recognition, image recognition, etc are basic examples of applications of artificial intelligence.

Artificial intelligence reduces human errors. The need for artificial intelligence is emerging day by day. The number of industries that are applying artificial intelligence in their businesses is rapidly growing.

Machine Learning is a vital part and a subset of artificial intelligence which makes the machines learn to think and act like humans. There is a set of limitations that machine learning could not overcome.

Let us see the various limitations of machine learning

Machine learning cannot deal with the very high dimensionality of data and results in errors. Due to this it cannot solve the basic Artificial Intelligence problems.

Feature extraction is again a limitation of machine learning. The complex problems that have object recognition, handwriting recognition, etc are difficult to be solved by machine learning.

How did deep learning overcome the limitations of machine learning?

Deep learning basically uses neural networks to simulate human decision making. Neutral networks are nothing but neurons that comprise the human brain and nervous system. With minimal guidance from the programmer, the models of deep learning are efficient to focus on the right features by themselves. This helps to overcome the limitations of machine learning and gives the user the most accurate solutions.

The models of deep learning are also efficient to solve the issues raised due to high dimensionality.

The primary goal of deep learning is to develop algorithms that can imitate the human brain. The data inputs are provided to the processing element that performs a summation and generates the appropriate results.

Deep learning has attained an enormous demand in no time. There are plenty of job openings for deep learning professionals all over the country. The average salary for a deep learning engineer in India is estimated as 7 lakhs per annum.

Prerequisites of Deep Learning

If you are desiring an upgrade in your career and planning to take up the ultimate online deep learning course, it is necessary to be aware of the prerequisites.

Math Knowledge

All the artificial intelligence courses including deep learning demand good knowledge and understanding of mathematical subjects such as calculus, Linear algebra, probability, etc.

Programming knowledge

The online deep learning course thoroughly employs programming languages such as R, Python, SQL etc. This course basically involves designing various models of deep learning using python. It is also important to have immense knowledge of machine learning and its applications.

Choose the best deep learning course

If you are definite about choosing the deep learning program, make sure that you choose the best deep learning course by Great Learning and experience an uplift in your career.

The 3 month deep learning course by Great Learning

Great Learning offers the best deep learning course in the country. The Deep learning certification course by Great Learning is a 3 month comprehensive program that covers every module of deep learning, neural network, computer vision, NLP and many more. Choose Great Learning to become a deep learning master and encounter a career enhancement.

80+ hours of teaching

This intense deep learning tutorial program is comprised of 80+ hours of learning which enables you to learn all the knowledge on each concept of deep learning. The online deep learning classes let you learn deep learning in accordance to your flexible time set.

Deep learning certification by Great Lakes

You will be provided with the highly influential Great Learning and Great Lakes that displays your efficiency in deep learning.

Faculty

The faculty of Great Learning are the pillars of the institute who made it rank number one in the country. These faculty members are extremely talented and are also the alumni of the top institutes of the world and they possess immense teaching experience.

Hands on learning

At Great Learning, you will be allotted with projects that would let you work on all the tools and techniques that you have learnt during the course. The application of these techniques on real time projects would enable you to gain hands on experience. These projects would boost your confidence and the ability to work on all dimensions of deep learning.

E portfolio

Design an enthusiastic e portfolio including all the projects that you have worked on. This E-portfolio of yours will be displayed on all the social media platforms to expose your expertise to the digital world which lets you gain the best opportunities.

Structured Learning

The Deep learning training by great learning is a step by step approach that helps you learn all the concepts of deep learning in a step by step approach. The process of learning will be accelerated each week as the learning support sessions will answer all your questions and also clear your doubts and provide you complete guidance throughout the projects.

Labs with GPU access

At the labs, you will be working on a stimulated computing platform with AWS educate which is powered by GPUs and many other tools that require the intense applications of deep learning. Each of the students will be given 75$ credit to work on AWS powered GPU labs besides accessing free resources This lab offers you the maximum flexibility as this can be accessible from anywhere.

Online content

You will be accessible to the best in class content from the high expertise faculty of great learning. These classes also include sessions with industry experts.

Weekly learning support sessions

The weekly live support sessions will efficiently help to guide you in the best way throughout the learning journey.

Projects

You will work on three projects developed across Neural networks, Computer vision, and Natural language processing. While you will work on these projects you will be using our GPU-enabled lab that will assist you to learn and solve problems without purchasing or installing the computing foundation yourself.

Career Support

Great Learning does not just provide you with an exhaustive deep learning knowledge and certificate, but it also does provides ultimate career assistance. Great Learning is also associated with many of the top companies and you will be attending the placement drives which are regularly conducted by Great Learning. The list of these companies include Infosys, IBM, Accenture, HSBC, Latent View, Myntra, Shell, RBS and many more.

All the above mentioned attributes enable Great Learning to offer the best deep learning course.

What are the qualifications of taking up the Deep Learning classes

You must possess at least a minimum of 2 years of experience in programming as this helps you to gain hands on the applications of the deep learning techniques. Apply now