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.
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
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
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.
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.
Tulasi Ram Laghumavarapu
Deepak Kumar G S
Kanumuri Sri Naga Sai Ajith
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.