Plaksha Tech Leaders Fellowship

The Plaksha Tech Leaders Fellowship (TLF) is a one year, fully residential, post-graduate program to nurture leaders in technology who:

Design ethical, scalable tech-centric solutions

Are innovative and entrepreneurial

Inspire and drive impact

60 handpicked Fellows from diverse backgrounds

20 Full Scholarships | 40 Partial Scholarships

Top-notch faculty from around the world

MIT, UC Berkeley, Purdue University, UMichigan, UPenn, Google, IBM

One year, fully residential experience

July 2020 to May 2021

TLF is an outcome of the vision of over 45 industry leaders, tech entrepreneurs and senior academicians across the world. The collective belief amongst them is the program’s ability to unlock the potential of graduates to leverage technology to lead organizations, build path-breaking ventures and help solve real-world challenges at scale for India and the world.

The first-of-its-kind, TLF interweaves Artificial Intelligence (AI) and Machine Learning (ML) with real-world application, leadership and mentorship.

The curriculum has been designed by a Program Committee of academicians and cutting-edge AI and ML practitioners and researchers.

TLF is built on four intertwined threads: Data-X coursework (AI and ML, design and systems thinking), Real-world Projects (Challenge Lab and Capstone Project), Guest Sessions by domain experts, business leaders and entrepreneurs, and Leadership and Mentorship. The Capstone will be intense AI and ML centric projects across three months at leading corporations or research labs.

TLF is the first flagship program of Plaksha University, a greenfield University with a vision to reimagine technology education and research for the 21st century. The University will come up in Mohali in 2021.

RECENT EVENTS

Founding Group

Co-Founded by over 40 business leaders and technology entrepreneurs across five countries.

Academic Advisory Board

The vision is being guided by eminent academicians and thought leaders across the world.

Collaborations

TLF Program Committee

Leading academicians and practitioners in AI, ML, Data Science and Leadership, have helped shape the curriculum.

FACULTY

PROGRAM TEAM

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