Univ.AI offers focussed certificate programs in AI & ML, each designed for tangible learning and professional outcomes for various levels of your learning journey. We also offer short free preparatory courses that help you learn the basics and get you ready for our programs. All our programs are LIVE online with intensive mentorship and foster hands-on learning.

Classroom based

You learn with a group - your cohort. Build lifelong relationships and learn from one another.

LIVE, from the very best

We seek to recreate the learning environment of elite learning institutions, specifically - the Harvard M.S. in Data Science & AI

Intensive mentoring

Help is always on hand, always live, and more of it than anywhere else in the world

Offered programs

Enrol in a structured program with Harvard and UCLA professors, and work with a single cohort while you go from Beginner to Pro

Programs composition

Meet your Instructors

Tuition Options

Get up to 14.2% tuition credit

If you prefer to pay the entire fee upfront, we acknowledge the reduction in financing and underwriting costs that Univ.AI needs to bear, as compared to all our other tuition options, and extend you a tuition fee credit of up to 14.2%.

Pay your tuition in up to 24 convenient monthly instalments after you complete the program

We offer a deferred payment plan to help students pay their tuition after they complete the program. Under this plan, you can enter into an agreement with a financial partner to pay your tuition fees in monthly instalments after completing Univ.AI.

Pay Only an upfront fee of (INR) 35,000.00 till you get a job

Our Income Sharing Agreement (ISA) Tuition plan is an investment in our students. Under this plan, you pay only an upfront fee (to cover our platform and TA costs) till you complete your program and get a job.

Tuition Options

Pay in convenient, interest-free instalments

Students have the option to pay for their programs interest-free in 2–5 instalments by choosing to pay as you go. No more worrying about saving up all at once!

Get up to 13% tuition credit

If you prefer to pay the entire fee upfront, we acknowledge the reduction in financing and underwriting costs that Univ.AI needs to bear, as compared to all our other tuition options, and extend you a tuition fee credit of up to 13%.

Meet our Students & Alumni

Meet our Students & Alumni

Our early Alumni are going places

Frequently asked questions

Who can attend Univ.AI programs? Can I take them if I am a working professional? What if I am still studying?
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Anyone! Data Science and AI are horizontal skill that increasingly professionals of all persuasions will need to know - whether they are social or physical scientists, engineers, or medical professionals. 

Our programs are part-time. Students currently enrolled at university, as well as working professionals, can apply for our programs.

What career outcomes can I expect after successfully completing Univ.AI programs?
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Univ.AI students may reasonably expect to get the best jobs in the industry, commensurate with their prior experience. Folks that come to Univ.AI without any prior work experience, and expect to get top entry-level positions in Data Science, and those with prior work experience, will be able to get more senior-level jobs.

In addition, we invite Univ.AI students to apply for positions at Univ.AI’s Data Science and AI consulting division, which offers top jobs at industry-leading compensation.

What is a learner’s weekly schedule at Univ.AI? What time are classes and other live sessions held?
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They are currently held at - 


9:30 a.m. EDT (8:30 am EST)

6:30 am PDT (5:30 am PST)



7:00 pm IST.

What certifications do I get after completing the programs?
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We have a 2-tier certification system for all our programs. Students who score an A grade are awarded a special Certificate of Exceptional Performance. All students who successfully complete a program receive a Certificate of Successful Completion. 

In addition, within a program, for each course you complete successfully, you get a course completion certificate and grade. 

All certificates are granted by Univ.AI, and signed by our founding faculty, who are Harvard and UCLA professors.

In addition you have a github repository of all your projects, and a detailed transcript for the program, comprising your grades in each of the courses.

What are the prerequisites for the Certificate programs at Univ.AI?
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Our DSLP, Deep Learning Leaders Program and Certificate in Data Science programs require you to know (high-school level) -  linear algebra, calculus, and basic statistics. In addition we require you to know Python programming. 

We conduct an entrance exam as part of the application to test you on the prerequisites to ensure that you are well prepared to succeed in our programs.

How much time will I need to commit each week to do well at Univ.AI?
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Programs at Univ.AI are run one-course-at-a-time, and require about 12-15 hours of your time each week, including live classes, labs, office hours, homeworks, and projects. 

Every week, you have two classes of about 90 minutes each

Each session lasts about 90 minutes. 

If you can commit that kind of time every week to learn a new field, then we welcome you to apply for Univ.AI programs in Data Science, and AI irrespective of your stage of career.

How can I get accepted to a program at Univ.AI?
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At Univ.AI you can take entire programs or individual courses. 


Admission to individual courses is unrestricted, and you can enroll simply by selecting a course from the “courses” page at and paying the associated fee. You could reproduce an entire program by taking all the courses in any program. 

Note: If you choose to complete a program one-course-at-a-time, you will be eligible for program certification. However, you can avail yourself of placement assistance, and other facilities only after completion of program certification. 

Those enrolled into programs get access to employment, internship and other enrichment opportunities well ahead of program completion.


Admission to programs is a two step process - 

Application and test

You need to complete an application at, which includes an aptitude test that will test your knowledge in basic Python Maths and Statistics.

Based on your test score, you are offered admission to the program of your choice and offered one or more of tuition payment options (including, if eligible, an Income Sharing Agreement).

Alternative ways of getting admitted

You can take either AI-0 or AI-1 as a stand-alone course, and if you score a B in AI-0, or a B+ or higher in AI-1 and secure admission to the program of your choice.

How are students graded and evaluated?
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We conduct both group and individual evaluations. Evaluations are based on your class performance (exercises and quizzes), labs, homeworks, and projects. We ask that you always participate and attempt exercises even if you get them wrong: participation counts towards your grade. 

Detailed evaluation criteria may vary from course to course, and are published prior to each course. Below is a representative grading structure:

  • Quiz & Exercises: 25%
  • Homework assignments: 35%
  • Participation: 10%
  • ~Forums: 5%
  • ~Lectures: 5%
  • Course-end Project: 20%

How are programs delivered at Univ.AI?
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Each of our programs comprise a series of 5-6 week courses. With few exceptions, most individual courses are 6-weeks long. 

The learning system is entirely LIVE and comprises Interactive classes, labs, office hours, homework assignments, and an end-of-course project. 

Each week, for the first 4 weeks, there are two classes, one-to-labs, and office hours. In addition you are assigned homework. The final week is for a group project.

There is a short break at the end of each course and the start of the next one. For more details, please refer to the how it works page of our website.

Are programs at Univ.AI full time or part time?
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At present we offer only part-time programs, and sessions are conducted in the evenings (Indian Time Zone). They are designed such that working professionals can expect to finish them in a 6-9 month period with 12-15 hours of work per week (with breaks between courses). 

The workload is calibrated to keep the rate of learning new concepts at a level that allows you enough time to learn them thoroughly, and explore all practical nuances of application.

Enquire Now

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Thank you for your interest!
You can now sign-up for counselling sessions to discuss courses, tuition options, career prospects and more. We will be happy to guide you through your Data Science journey.


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