TLP Frequently Asked Questions

I am currently in college. Am I eligible to apply?

If you are in the final year of college and will successfully complete the degree by Summer 2022, yes, you can apply!

Is an engineering degree mandatory to be eligible?

No. Anyone with a Bachelor’s degree in engineering, math or science may apply. Technical prerequisites in math and programming are defined here. If you are certain that you meet these technical prerequisites, without the aforementioned degrees, you are welcome to apply and we may consider your application.

Are scholarships available? What are the criteria?

Yes. We are committed to offering financial assistance to deserving candidates across the country. Need-based scholarships are provided to eligible candidates, identified through a comprehensive financial-aid evaluation process. Limited Merit scholarships are also available. All applicants are considered for Merit scholarships by default.

What happens after I submit the TLP application form?

On submitting the TLP application, you will receive a technical aptitude test. This will be followed by a round of personal interview.


The TLP program requires a strong background in mathematics, logical reasoning, and programming skills. Applicants with valid GRE/GMAT scores can request for an exemption from tech aptitude test.
View sample test here

PERSONAL INTERVIEW This round assesses your alignment with the program and maps attributes of yours that will benefit the TLP cohort. You will interact with a panel of faculty, alumni, Founders, and Directors of Plaksha University.
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What credentials will I receive at the end of the Program?

After completing the Plaksha Technology Leaders Program (TLP), you will receive Post Graduate Diploma in AI, ML and Leadership by Plaksha University. Additionally, you will be awarded with a certificate issued by the Sutardja Center for Entrepreneurship and Technology, University of California, Berkeley.

I have an AI/ML startup idea. Can I work on it as my Capstone Project?

You will be required to pitch your idea to the Capstone Committee. The Committee will evaluate the proposal with a high bar on technical rigor and feasibility. If approved by the committee, we would be glad to support your startup idea as your Capstone Project, right from mentorship to business opportunities.


TLP is a fully residential program as peer learning, inside and outside the classroom, is a big component of the pedagogy. In order to facilitate this, we require students to stay at the residential facilities provisioned for the program.

Can I work at a job alongside the Program/pursue the Program online?

No, TLP is a very intensive program and demands full-time commitment.

How do I know if the Tech Leaders Program is right for me?

The Technology Leaders Program is right for you if you want to roll up your sleeves and leverage technology to make real-world impact. You will learn concepts, tools and techniques in AI, ML and Data Science and how to apply these to design products, systems and solutions for people. Signature experiences such as the Capstone, Challenge Lab and Grand Challenge Lecture Series, leadership and mentorship will prepare you for the real-world and real problems throughout your career.

Technical prerequisites required for the program are:

  • A basic understanding of programming i.e. sufficient coding experience in at least one high-level language such as Python/C/C++/R/JAVA etc.

  • Strong grasp of mathematical concepts, specifically in the areas of probability, statistics and linear algebra

Is there an application fee?

No, there is no application fee.

I am from a non-technical background? am I eligible to apply for TLP?

Yes, you are eligible to apply for TLP.
Your undergraduate stream is not important as long as you have a strong grasp of mathematics and programming concepts. This is evaluated in the second step of the admission process, which is the technical test round. If you perform well in the tech aptitude test, then you will be invited for the interview round.
If you think you have a strong grasp of mathematics and programming concepts, you can apply for TLP and participate in the admissions process.

What kind of AI-ML concepts are covered / taught in TLP?

Data Science courses at TLP at taught by top practitioners from Google, UC Berkeley, Microsoft IMB and more. Learning is not limited to comprehensive study of subjects like probability and statistics to understand AI, ML but also has includes application of AI, ML to model solutions to real world problems.
You get to learn highly valued skills such as Fundamental Statistics Concepts, Python, Data Analysis, MLOps, Predictive Analytics, NLP, Data Modeling and Visualization, and StoryTelling. Additionally you also work on data science tools which matter, like PySpark, Python, SciPy, NumPy, Jupyter, Pandas, Hadoom, TensorFlow, Git & SQL.
All these put togehter enable you to start applying core data concepts for business decision making and drive strategy and innovation at technology companies

What should I focus on while writing answers to essay questions?

The two essay questions will help us understand your thought process. You can elaborate your experiences, career goals, and learnings so far. We will also look at how you articulate your life journey. Be creative and elaborate in sharing. This will allow us to understand your alignment with the goals and approach of the program.

What is the career support provided by TLP?

Two cohorts of 60 students each have been placed in key technology leadership roles such as Data Scientists, Machine Learning Engineers, Product Managers, Product. TLP graduates have been handpicked by top companies like Boston Consulting Group, Microsoft, Walmart Labs, Fractal Analytics, Paytm Payments Bank, Cisco,, Verisk and more. While some have gone on to study in top universities globally, others have chosen the exciting path of founding startups.

Can I apply for Ph.D / Research programs after doing TLP?

Yes, you can apply to top research and doctoral programs after compeleting TLP. Many students from previous cohorts have opted for research assignments, with global faculty members at universities like UC Berkeley & Purdue University, during their capstones.
Some prominent universities where TLP alumni doing research / doctoral assignments include Columbia University (USA), Purdue University (USA), Aalto University (Finland), KTH Royal Institute (Sweden), University of Toronto (Canada), University of Washington, TIFR (India), IIT Hyderabad India, & Ashoka University (India).

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