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WELCOME SESSION TBD CLASSES START TBD Live Online & In-campus Immersion
DURATION 10 Months Live Online Sessions with Faculty 4 hours/ week Saturday & Sunday, 3:30 PM - 5:30 PM
PROGRAMME FEE INR 2,00,000 + GST View Payment Plan Special Corporate Enrolment Pricing
Tools covered
Applicant Eligibility
Limited seats are available! Application Deadline: Wednesday, TBD

Application Deadline: Wednesday, TBD

Eligibility: Graduates who have completed B.E./ B.Tech./ MCA/ MSc. in CS/ or MSc. in IT as on TBD. Candidates should be familiar with statistics and programming.

Learn from top IIT Madras Faculty with IIT Madras Campus immersion

  • #1

    Best Institute in India

    SOURCE: NIRF, 2022

  • #1

    Institute of National Importance

    SOURCE: ARIIA, 2021

  • #4

    Top Institute in India

    SOURCE: QS WORLD UNIVERSITY RANKINGS, 2023

Why Choose the Certificate Programme in Deep Learning and AI?

  • 150+

    Hours of Learning

  • 6

    Quizzes & Assignments

  • 1

    Hackathon

  • 4 Days

    Immersion at IIT Madras campus

Note: The numerical programme highlights presented above are approximate, and they will be confirmed closer to the programme start.

Tools Covered

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
The tools will either be taught by the teaching faculty or Industry Practitioners or linked to the relevant knowledge base for you to go through and keep yourselves equipped with the guide to use them.

Gain in-demand skills to developing deep-tech solutions through high-level programming, powerful tools & libraries, and deep neural networks
Taught by top research faculty at IIT Madras via 100% live online lectures
Develop a strong professional network, boost critical deep tech knowledge and skills, and accelerate career progression
Upskill with working knowledge to apply deep tech and develop in-demand skills for a high-growth career
Right balance of frameworks and algorithm teaching with hands-on tools through assignments
Earn a certificate of completion from IITM Pravartak
PAY LATER FINANCE OPTIONS

Immersive Action Learning Methodology

  • Work on assignments with insights from the curriculum
  • Refine project solutions by testing hypothesis through access to Labs in the CSE Department of IIT Madras
  • Participate in the hackathon to gain hands-on learning during the in-campus immersion
  • Quizzes and end-semester examination will be conducted online
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Become a Global Business Leader

40%

Higher revenue per employee

9%

Higher gross profit margin

5X

More likely to be effective at anticipating and responding to change

10X

More likely to be highly effective at identifying and empowering next-gen leaders

Past Participant Profiles

Work Experience
Past Participant Experience
Top Industries
  • Banking & Finance
  • Healthcare
  • IT Services
  • Manufacturing
  • Retail
  • Others*

*Others include Infrastructure, Consulting, E-commerce, FMCG, and Telecommunications, amongst others.

Top Job Titles
  • Chief Financial Officer
  • Director - Finance
  • Vice President Finance
  • Finance Controller
  • General Manager - Finance
  • Chief Accountant

...amongst others.

IITM Pravartak Certificate

On successful completion, participants will be awarded a Certificate Programme in Deep Learning and AI from IITM Pravartak and the Centre of Outreach and Digital Education, IIT-Madras. The programme pass percentage is 40% and minimum attendance required is 75% to qualify for the certificate of completion.

Sample Certificate
Sample Certificate

Note:
- The certificate shown above is for illustrative purposes only and may not be an exact prototype of the actual certificate.
- IITM Pravartak reserves the right to change the certificate and specifications without notice.

Who is this Programme for?

Early-career professionals

Solve complex real-world problems by leveraging neural networks and deep learning skills

Mid-career professionals

Advance skillset of various neural network and deep learning algorithms and their applications

DOWNLOAD BROCHURE

Live Online Learning with IIT Madras Faculty

Programme Coordinator

Prof. C. Chandra Sekhar

Professor, Department of Computer Science & Engineering, IIT Madras

  • Prof. Sekhar’s expertise and research interests include speech recognition, neural networks, kernel methods, machine learning, deep learning and metric learning
  • He is the author of many research papers that have been published in peer-reviewed, national and international journals and conferences
  • In 2016, he was the recipient of the coveted Srimathi Marti Annapurna Gurunath Award for Excellence in Teaching from IIT Madras

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Programme Faculty

Dr. Dileep A. D.

Associate Professor, School of Computing and Electrical Engineering, IIT Mandi

  • Received his M.Tech. and Ph.D. degrees in Computer Science and Engineering from IIT Madras
  • His research interests include pattern recognition, Kernel Methods for Pattern Analysis, Machine Learning for Speech Technology, Computer Vision, Cloud and Telecom networks
  • He is an author of many research papers published in peer reviewed, international and national journals and conferences
  • In 2020, he was the recipient of the Teaching Honour Roll Award for Excellence in Teaching during the academic year 2019-20, at IIT Mandi

Read More

Programme Modules

  • Motivation for Programme
  • Overview of Programme
  • Expected Outcomes of Programme
  • Function approximation (Regression), Classification, Clustering, Ranking, Information retrieval
  • Text processing applications
  • Image and video processing applications
  • Speech processing applications
  • Data representation
  • Supervised learning & Unsupervised learning
  • Semi-supervised learning & Active learning
  • Self-supervised learning & Transfer learning
  • Domain adaptation
  • Federated learning
  • Linear Algebra
  • Calculus
  • Probability and Statistics
  • Linear model for regression
  • Supervised learning
  • Parameter estimation - Maximum likelihood method
  • Overfitting & Regularisation
  • Ridge regression
  • Lasso
  • K-nearest neighbour classifier
  • Bayes classifier
  • Normal density function
  • Maximum likelihood estimation
  • Gaussian mixture model
  • Naïve Bayes classifier
  • Decision surfaces
  • Dimension reduction methods
  • McCulloch-Pitts neuron
  • Perceptron convergence theorem
  • Perceptron convergence theorem
  • Sigmoidal neuron
  • Softmax function
  • Multilayer feedforward neural network
  • Error backpropagation method
  • Gradient descent method
  • Stochastic gradient descent method
  • Stopping criteria
  • Logistic regression based classifier
  • Deep feedforward neural networks (DFNNs)
  • Optimization methods
  • AdaGrad, RMSProp, Adadelta & AdaM
  • Second order methods
  • Regularization methods: Dropout, Dropconnect
  • Batch normalization
  • ANN & Stacked Autoencoder
  • Greedy layer-wise training
  • Pre-training & Fine tuning a DFNN
  • Regularization in autoencoders
  • Denoising autoencoder
  • Variational autoencoder
  • Basic CNN architecture
  • Rectilinear Unit (ReLU)
  • 2-D Deep CNNs: LeNet, AlexNet, VGGNet, GoogLeNet, ResNet
  • Image classification using 2-D CNNs
  • 3-D CNN for video classification
  • 1-D CNN for text and audio processing
  • VLAD method for aggregation - NetVLAD
  • Architecture of an RNN & its unfolding
  • Backpropagation through time
  • Vanishing and exploding gradient problems in RNNs
  • Long short term memory (LSTM) units
  • Gated recurrent units
  • Bidirectional & Deep RNNs
  • Encoder-decoder paradigm
  • Image and video captioning models
  • Machine translation
  • Text processing models
  • Representation of words: Word2Vec and GloVe
  • Attention-based models
  • Scaled dot product attention, Multi-head attention (MHA), Self-attention MHA, Cross-attention MHA.
  • Position encoding
  • Encoder and Decoder modules in a transformer
  • Sequence to sequence mapping using transformer
  • Machine translation using transformer model
  • Vision transformer
  • Video captioning using transformer model
  • BERT model
  • Text and Visual question answering and reasoning using transformer models
  • Image generation models
  • Architecture and training of a GAN
  • Deep convolutional GAN
  • Cyclic GAN
  • Conditional GAN
  • Super-resolution GAN
  • Applications of GANs for image processing
  • Introduction to reinforcement learning
  • Markov decision processes
  • Policy gradients
  • Temporal difference learning
  • Q-learning
  • Deep Reinforcement Learning
  • Text processing using deep reinforcement learning

Note:
- Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the participant profile & programme hours.
- The programme curriculum includes individual assignments, simulations, group projects & presentations to apply and demonstrate classroom learnings.

DOWNLOAD SYLLABUS

Learning Outcomes

  • Understand neural network architectures and models
  • Identify appropriate deep learning algorithms
  • Perform classification and regression using ANN
  • Implement methods of optimization & regularization for DFNNs
  • Gain working knowledge of Autoencoders
  • Design and evaluate CNN from texts, images, and videos
  • Create and analyse RNN for sequential pattern analysis tasks
  • Evaluate encoder-decoder based deep learning models
  • Design transformer models for sequential pattern analysis tasks
  • Gain exposure to GANs and deep reinforcement learning
  • Build deep tech capabilities to solve real-world problems

Gain a 360-degree proficiency in Deep Learning & AI skills!

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Complimentary Annual Digital WSJ Membership

As a participant in the programme, you will receive a complimentary annual digital membership to The Wall Street Journal (WSJ) with unlimited access to award-winning journalism across any device. From business and world news to technology, life, and arts, WSJ provides ambitious and fact-based reporting that readers can trust.

Free One-year Access to Emeritus Insights

As a learner of this programme, you will get free one-year premium access to Emeritus Insights, a microlearning platform to help shape your success. You can build 50+ in-demand skills from over 5000 bite-sized video lessons from best-selling books, subject matter experts and Harvard Business Review. You will also get access to live, engaging sessions with industry experts on Insights LIVE.

Pay Later - Finance Options

Programme Fee Maximum Loan Amount Available Tenure (months) EMI
INR 2,00,000 + GST INR 2,24,200 36 INR 8,289

Note:

  • The above EMI's are indicative. The EMI's offered by each of the loan providers might vary from the above figures, depending upon tenure and loan amount to be disbursed.
  • Other EMI tenures available (Months):
    Propelld: 6/12/18/24/30/36/42/48

Below EMI plans are available for the loan amount: INR 5,19,200

0% EMI plans Standard EMI plans
Loan Provider Tenure (months) EMI
Propelld 12 INR 43,267
LiquiLoans 12 INR 43,267

Note:

  • The above EMI plan is available only for 12 months
  • All the loans are provided by a third party NBFC (Propelld or LiquiLoans) and not Emeritus
  • There would be a one-time processing fee based on the tenure of the loan
Loan Provider Tenure (months) EMI
Propelld 18 INR 30,575
Propelld 24 INR 24,229
Propelld 36 INR 18,533
Propelld 48 INR 14,927
LiquiLoans 18 INR 30,575
LiquiLoans 24 INR 24,229
LiquiLoans 36 INR 17,884
LiquiLoans 36 INR 14,711

Note:

  • All the loans are provided by a third party NBFC (Propelld or LiquiLoans) and not Emeritus.
  • There would be a one-time processing fee based on the tenure of the loan.
  • The above EMI's are indicative. The EMI's offered by each of the loan providers might vary from the above figures, depending upon tenure and loan amount to be disbursed.

Past Participants of Emeritus Work at

Career Services image

Note: All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Emeritus Career Services

Career Services image
  • Career Management Modules on:
    • Building an Impressive Resume & Cover Letter
    • Building an Impressive LinkedIn Profile
    • Navigating Job Search
    • Interview Preparation
  • Past participants of Emeritus work at Microsoft, ICICI Bank, Infosys, HDFC, AirBnB, TCS, Ola, Flipkart, JSW, Wipro, Honeywell, JP Morgan, Reliance Jio, Mahindra, Gartner, Accenture, Cognizant, amongst others

Please note:

  • This service is available only for Indian residents enrolled into select Emeritus programmes.
  • This service is provided by Emeritus. IITM Pravartak is NOT involved in providing this service.
  • IITM Pravartak will not provide any kind of placement assistance to the programme participants.
  • For learners with more than 5+ years of experience, the chance of converting an opportunity becomes difficult as transitioning to leadership positions within the same firm becomes more important

Early applications encouraged. Limited seats are available.

View Payment Plan
Special Corporate Enrolment Pricing

Round 1: The first application deadline is
TBD and the fee to apply is INR 1,500 + GST

Round 2: The second application deadline is
TBD and the fee to apply is INR 2,000 + GST

Application Deadline: TBD

START APPLICATION NOW
Application Deadline: TBD DOWNLOAD BROCHURE

The Learning Experience 

What is it like to learn with the learning collaborator, Emeritus? 

More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.

A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

In collaboration with Emeritus

Erulearning Solutions Private Limited (a company incorporated in India) is a subsidiary of Eruditus Learning Solutions Pte Ltd (a company incorporated in Singapore), and operates under the brand name of 'Eruditus' and 'Emeritus'.