The Challenge


Alright, AI is the future, and you want in. Now what?

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

For professionals too, the questions are a plenty. Often companies have data and want to do something with their data. Or they want to build "intelligence" into their products. It is unclear, both to individual contributors and managers, what one is to learn, apply, and deploy to make that happen.

A lack of clarity remains the singular challenge in the up-skilling of individuals and deployment of solutions in AI.
The AI beast

The solution - PadhAI One series

A set of 3 courses over 15 months covering from the basics of Python to the advances of cutting-edge deep learning at very affordable prices

One Series for All

  • Foundations of Data science

    Open to registrations
    5 months
    Rs 1,000 for students

    See syllabus | Join now

  • Machine Learning

    Coming soon!
    5 months
    Rs 1,000 for students

  • Deep Learning

    Open to registrations
    5 months
    Rs 1,000 for students

    See syllabus | Join now

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

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

AI / ML Course Details

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

  • 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.

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

  • 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.

  • 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.

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

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

Founders and Instructors

PadhAI One courses, including hands-on exercises, are directly taught by highly regarded teachers

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.

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

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.
IIT Madras Research Park

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" (पढाई/paḍhāī) or "study AI" (पढ AI/paḍh-AI). In Tamil, you can read it as "path" (பாதை/pādhai). Let us together read and understand AI and build the path forward.

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 [email protected]

  • 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 [email protected]

  • 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 [email protected]


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


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

  • 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 our community.

  • Will I get a certificate on completing a course?

    Yes, upon successful completion of each course, 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.

Watch Intro Video

PadhAI One FAQs

Interested in PadhAI?