Tech Leaders Fellowship (TLF) is a distinctive postgraduate educational journey, co-created in collaboration with UC Berkeley, designed to nurture innovators, entrepreneurs, and technologists who can harness data-driven tools and technologies to address global challenges head-on. We are selective in choosing individuals with exceptional potential, guiding them through a rigorous one-year program t
hat nurtures them as technology leaders ready to make a meaningful impact on the world. Fellows develop the skills to solve real-world problems that require data-driven solutions and understand the deployment of technology to address global challenges. They learn to create, evaluate, and implement solutions in a hands-on, experiential environment, working with real-world data and scenarios. It's all about showing how technology can be harnessed for maximum impact and insightful decision-making. Sitting at the crossroads of technology, leadership, and entrepreneurship, the Fellowship offers an integrated curriculum. It blends fundamental AI-ML and Data Science concepts with practical, real-world applications. Over the course of a year, Fellows gain proficiency in applying data science tools and technology to data-driven problems while cultivating an entrepreneurial mindset within a tech context. This unique combination empowers Fellows to explore how their leadership can make a significant contribution to the world. Through a synergistic approach, TLF leverages expertise from academia and industry around the world, creating a robust curriculum. Our faculty combines the best of both worlds, ensuring that our Fellows receive a well-rounded and cutting-edge education. Additionally, Fellows gain access to the influential Plaksha Founder network, connecting them with top business leaders and successful entrepreneurs leading some of the world's largest organizations. This network opens doors that few others can provide, making the TLF experience truly exceptional. Key Highlights
Innovative curriculum: TLF offers a cutting-edge curriculum that seamlessly integrates fundamental AI-ML and Data Science principles with practical, real-world applications. Fellows gain exposure to real-world data and scenarios, equipping them to address data-driven challenges with technology. Moreover, the curriculum fosters an entrepreneurial mindset, encouraging Fellows to explore how their leadership can drive global change through technological innovation and disruption. Distinguished faculty: TLF's ambitious curriculum is delivered by a dynamic faculty composed of experts from both academia and industry. This diverse team seamlessly combines foundational technological concepts with real-world applications, ensuring an enriched educational experience. Mentorship and global network: TLF become part of a high-impact network of Plaksha Founders, a group of renowned business leaders and successful entrepreneurs who lead some of the world's largest organizations. This network offers invaluable mentorship, advice, and masterclasses, providing Fellows with a unique opportunity to connect and learn from top professionals around the globe. Ideal TLF Candidate
• Should have completed or is in the process of completing a major in engineering, sciences, mathematics, statistics, or other applied fields. They should be genuinely enthusiastic about learning how data and technology can drive decision-making.
• While candidates with up to 2 years of professional experience who aim to take on leadership roles that utilize data and technology to make a significant impact are preferred , we encourage recent graduates who share this passion to apply. Your demonstrated interest in the field is highly valued. What we seek in TLF applicants
• Problem solving & analytical prowess: We value candidates with strong problem-solving skills, the ability to adapt to various professional situations, and think critically about the challenges around them.
• Academic excellence: TLF candidates should have an impressive academic track record, emphasizing solid quantitative skills. This can be shown through past academic achievements, scholarly accomplishments, and performance in the Plaksha admission test. Candidates should also have completed graduate-level mathematics courses and possess some familiarity with coding and programming, either through college coursework or self-learning certifications.
• Passion for technology and leadership potential: We are eager to meet individuals who are entlhusiastic about harnessing technology and data to tackle global challenges. We welcome those who have demonstrated leadership potential in various ways, whether through formal work experience, volunteering, entrepreneurial endeavors, university-level responsibilities, and more.
