The Challenge

Confusion

The defining emotion for learners beginning their AI journey is confusion. Which course to take, which tool to learn, which role to apply? Should one learn data science or machine learning or deep learning? Should one focus more on the theory or hands-on practice?

The solution

PadhAI One Series

  • Data science

    To begin on 1st Jan 2020
    4 months
    Rs 1,000 for students

  • Machine Learning

    To begin on 1st Jun 2020
    4 months
    Rs 1,000 for students

  • Deep Learning

    To begin on 1st Oct 2020
    4 months
    Rs 1,000 for students

The PadhAI One advantage

  • One unified journey across three courses, taught with the same teaching philosophy

  • Math basics and programming skills are taught when required, with roughly equal split between theory and hands-on

  • Regular graded assignments with quizzes and programming contests

  • Access to PadhAI learning network with over 10,000 AI enthusiasts from India

Fee Structure

Driven by our passion for teaching and interest in nation building, all PadhAI One courses are offered at very affordable prices.


For students/faculty For professionals
Students enrolled in schools/colleges and faculty members Working professionals and those looking to up-skill
Applicants must provide a valid ID card indicating present affiliation. No pre-requisites
Rs 1,000 + 18% GST for each course Rs 5,000 + 18% GST for each course


Course details

Material: The course is fully online. Videos, quizzes and programming assignments will be uploaded into a portal accessible to all registered users of PadhAI. 

System requirements: For the most part, the course will be taught with the help of freely available cloud resources. Hence, access to a computer with high speed internet is sufficient.

Language: All courses will be taught online, in English. The programming language for the course will be Python.

Time: Lecture material will typically cover 2 to 3 hours of content per week. You are expected to put in another 3 hours of effort (study/programming) on your own. Thus a time commitment of 5 to 6 hours per week is necessary. 

Pre-requisites: For the data science course, familiarity with programming in some high level language is required (C/C++, Python, Java). Basic 12th standard Mathematics is expected. For the other courses, the previous courses need to be completed.

Evaluation: After roughly every 5-6 hours of material, a quiz or programming assignment will be added. Each submission will be graded.

Certificate: Upon completion of the entire course you will receive a certificate from One Fourth Labs, mentioning your average score across all assignments.

Registrations for PadhAI One to open soon

  • 00Days
  • 00Hours
  • 00Minutes
  • 00Seconds

Who we are

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

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.

Founders and instructors

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 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 co-authored over 25 patents filed at the US PTO.

AI residency program

Summer Garage

Top performers from the course may be invited to an AI residency program at the IIT Madras Research Park in the summer, with an opportunity to help in research and development for AI solutions.

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

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.

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.