Expected to start on Jan 1 2020
5 months | Rs 1,000 for students
Expected to start on Aug 2020
5 months | Rs 1,000 for students
We also plan to run short 1 month courses on specialised topics like autonomous driving and NLP in 2020
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.
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.
|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|
- A working knowledge of Python.
- Time commitment of 4 hours a week.
- Laptop/desktop with internet access.
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|
Working professionals from companies and any other applicant with work-experience looking to upskill.
Nil. Just apply directly.
5000INR + 18% GST
Tulasi Ram Laghumavarapu
Deepak Kumar G S
Kanumuri Sri Naga Sai Ajith
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 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.
Provide affordable education in AI
Solve India-specific challenges
Discover and grow talent
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.