About us

One Fourth Labs is a startup incubated at the IIT Madras Research Park by faculty members. We believe that AI is a disruptive technology. We are committed to readying India for the AI-age with affordable high-quality online courses, and building solutions with societal and commercial value.

PadhAI is our education arm. The word PadhAI can be read in many ways, each meaningful. In Hindi it can mean studies (पढ़ाई) or study AI (पढ़ AI). In Tamil you can read it as path (பாதை). Lets together read and understand AI and build the path forward.

A First Course on Deep Learning

Our flagship offering is a 5-month online course on Deep Learning. It provides both basic theoretical understanding and practical hands-on programming. It is beginner-friendly, but builds up expertise sufficiently to work with state-of-the-practice methods. 


We began the first batch in Feb 1, 2019 and received a very large response. The next batch begins on Aug 1, 2019. Registrations will begin on Jul 10, 2019. If you are interested, you can join the waitlist for the course.

Curriculum
1) Basics of Python, Mathematics  and Machine Learning 12) Overfitting and Regularization
2) Contest: Mobile phone like/dislike predictor 13) Introduction to Pytorch and Feedforward Networks
3) Sigmoid Neuron and Gradient Descent 14) Convolutional Neural Networks
4) Probability and Information Theory 15) Batch Normalization and Dropout
5) Sigmoid Neuron and cross Entropy 16) Hyperparameter Tuning and MLFlow
6) Contest: Binary text/no-text classification 17) Contest: CNN/FNN practice
7) Contest: Advanced text/no-text classification 18) Sequence Models - RNNs
8) Representation Power of functions 19) LSTM and GRU
9) Feedforward Neural Networks and Backpropagation 20) Encoder Decoder Models
10) Optimization Algorithms 21) Attention Mechanism
11) Activation Functions and Initialization Methods 22) Object Detection - RCNN, YOLO

Pre-Requisites 

  • A working knowledge of Python.
  • Time commitment of 4 hours a week.
  • Laptop/desktop with internet access.

Fee Structure

With the aim of upskilling the workforce through an affordable yet comprehensive education, we offer PadhAI at two compelling pricing options.

We received a large number of registrations for our Feb 1st batch. This enables us to provide the course at affordable prices.

PadhAI for Students/Faculty
Eligibility Students enrolled in schools/colleges without any prior work experience and faculty members of colleges and universities.
Requisites Applicants must provide a valid ID card indicating their present enrolment in any recognised educational institution.
Fee 1000INR + 18% GST


PadhAI for Professionals
Eligibility
Working professionals from companies and any other applicant  with work-experience looking to upskill.
Requisites
Nil. Just apply directly.
Fee
5000INR + 18% GST

Testimonials

Praveen R

This course is the best as it focuses both on the theory and hands on.This course introduced me to Kaggle competitions and I got addicted to it. I feel more confident that I can contribute to real world projects involving deep learning after taking this course.

Tulasi Ram Laghumavarapu

Never seen a course like this which has a perfect balance between theory and hands-on

JONATH S

Padhai is one among the best place to learn. The courses offered by Padhai is cheap, very effective and worth spending time on. I would love to take up more courses in Padhai.

Vudata Rohit

Learned a lot from this course. Before starting this course, I have no knowledge of deep learning but after learning this course I am pretty confident.

Deepak Kumar G S

Highly recommended for deep learning beginners and pros alike.

Srivathsan Vijayaraghavan

I would suggest this course to all of my colleagues and students.

Kanumuri Sri Naga Sai Ajith

This course can turn you into a deep learning enthusiast if you have the urge to learn something new (even if you don't know anything about deep learning at all).

Shashank Mishra

There was paradigm shift in knowledge of deep Learning after pursuing this course.

Deepak Choudhary

It is best hands-on practical Deep learning course taught in a beautiful way.

Ari Ezhilarasan

Focussing more on fundamentals what makes this course so special. I could still imagine how I transitioned from an MP neuron to Encoder-Decoder architecture. Hats off to both the professors.

Last few days to register for the August 2019 batch

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Deep Learning Garage

We hope to invite few top performers from the PadhAI courses for periodically held AI residency programs at the IIT Madras Research Park. The invited students will have a chance to work on cutting edge problems for both scientific and societal values.
Deep Learning Garage

Founders and instructors

  • Mitesh Khapra

    Mitesh Khapra

    Mitesh M. Khapra is an Assistant Professor in the Department of Computer Science and Engineering at IIT Madras. He researches in the areas of Deep Learning, Multimodal Multilingual Processing, Dialog systems and Question Answering. He holds masters and Ph.D. degrees from IIT Bombay. He has worked for over 4.5 years at IBM Research and published over 25 papers. He was a recipient of the IBM PhD Fellowship and the Microsoft Rising Star Award. He is also a recipient of the Google Faculty Research Award, 2018.
  • Pratyush Kumar

    Pratyush Kumar

    Pratyush is an Assistant Professor at the Department of Computer Science and Engineering at IIT Madras since April 2018. He received his Bachelors and Masters of Technology in Electrical Engineering from IIT Bombay in 2009. He then completed his PhD in Computer Engineering from ETH Zurich in 2014. He then spent over 2.5 years at IBM Research, Bangalore and a few months consulting for machine learning startups. His current research focus is on hardware-software co-design of deep learning systems. He has authored over 35 research papers and has applied for over 20 patents.

Partner with us

  • Universities and Colleges

    If you are an educational institution and would like to adopt our courses for your curriculum, we are very happy to support you. We can bulk enrol your students and provide certification for them to receive appropriate credit at your institution. Please write to us at uni@onefourthlabs.com

  • Foundations and NGOs

    If you are a foundation or an NGO and find synergy with our goal of affordable AI education, you can offer support for curriculum design and awards for top-performing students. Please write to us at grants@onefourthlabs.com

  • Corporates and Startups

    If you would like to train several of your employees on AI, please write to us to receive customized reports on how they perform. You can also partner with us on the DL garage by defining problem statements and awarding student grants. Please write to us at corp@onefourthlabs.com

Our philosophy

Make India ready for the AI age

  • Provide affordable education in AI

  • Solve India-specific challenges

  • Discover and grow talent

The PadhAI Roadmap

Tentative plan for upcoming courses

  • Machine Learning

    Expected to start on Jan 1 2020
    5 months | Rs 1,000 for students

  • Data science

    Expected to start on Aug 2020
    5 months | Rs 1,000 for students

  • Specialised courses

    We also plan to run short 1 month courses on specialised topics like autonomous driving and NLP in 2020

FAQ for students

  • What is the immediate next step?

    If you would like to enrol for the August 1st batch, you can join the waitlist. You will be notified when the registrations begin.

  • Are these courses offered by IIT Madras?

    No, these courses are not offered by IIT Madras. You will not get any certificate or course credits from IIT Madras. While we are affiliated with IIT Madras, this course is offered by our startup, One Fourth Labs.

  • How is this different from other courses?

    The focus of the courses is primarily on combining theoretical knowledge with hands-on experience. Further, the emphasis is to go from limited pre-requisites to solving a challenging problems. Finally, we hope to build a community around PadhAI by continuing to engage with you after the course through the DL garage, subsequent courses, and also through our startup One Fourth Labs which will build solutions on Deep Learning.

  • Will I get a certificate on completing a course?

    Yes, upon successful completion, you will get a certificate from our startup One Fourth Labs. This certificate will be accessible to you through LinkedIn so that you can add it to your profile.

  • Will I get compute resources for running assignments and for working on the project?

    No, we will not be able to provide compute resources. The hands-on sessions are run on Google Colaboratory which is free for use. This should be sufficient for most of the course. For specific hands-on exercises, you can use free tiers of AWS and GCP.

  • What are the pre-requisites?

    The primary pre-requisite is a working knowledge of Python. We do not expect you to be familiar with AI or related topics. Mathematical understanding equivalent to 12th standard syllabus would be sufficient. However, the course requires a time commitment of 4 hours per week.

  • How can I ask my doubts?

    We will have discussion forums where you can discuss the topics covered and ask doubts. Your peers or our TAs will answer the questions. Additionally, there will periodical video calls once a fortnight where instructors will answer questions.