July 24, 2026, (Inside AI) — A new one-week intensive course at IIT Madras aims to transform AI concepts into fundable startups, with the winning team securing a Rs 4 lakh grant. The Wadhwani School of Data Science and AI (WSAI) will host 'Building a Successful AI Startup' from August 10 to 14, with applications closing July 27.
The in-person programme targets final-year students, researchers, and early-stage AI ventures. Participants will navigate the entire startup lifecycle—from market opportunity identification and MVP development to fundraising and investor pitching. The curriculum includes customer discovery, product-market fit, revenue strategy, and term sheet negotiations, all grounded in real-world case studies.
Lakshmi Shankar, general partner at Together Fund and former Google Search VP, will lead the course. His background spans leadership roles at Twitter, IBM, and EY, plus a Sloan Fellowship at Stanford Graduate School of Business. The programme runs daily from 1 pm to 7 pm at NAC 2, IIT Madras.
On the final Pitch Day, teams present to an investor panel. The top team receives the Rs 4 lakh grant to propel their AI startup. Fees are Rs 5,000 for IIT Madras students (refundable on completion) and other students/startups, Rs 15,000 for postdocs and faculty, and Rs 25,000 for industry participants.
This initiative arrives as India's AI startup ecosystem accelerates. According to a NASSCOM report, Indian AI startups raised over $1.2 billion in 2025, with generative AI ventures capturing a significant share. Yet, many founders struggle with translating technical prowess into viable businesses—a gap this course directly addresses.
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IIT Madras has a track record of spinning out deep-tech ventures. Its incubation cell has nurtured over 300 startups, with several in AI and data science. The WSAI course leverages this ecosystem, offering mentorship from seasoned operators like Shankar, whose Together Fund focuses on early-stage AI and SaaS companies.
Competing institutions are also ramping up. IIT Delhi recently launched an AI product management bootcamp, while IISc Bangalore expanded its deep-tech accelerator. The race reflects a national push to convert India's AI talent pool into economic output. A 2025 Stanford AI Index report noted India's sharp rise in AI skill penetration, yet commercialization lags behind the U.S. and China.
Shankar's involvement signals a pragmatic bent. At Google Search, he oversaw product strategy for emerging markets. His experience with scaling technology in resource-constrained environments could prove invaluable for Indian founders navigating local market nuances.
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Skeptics question whether a week-long course can meaningfully advance complex AI startups. However, the structure—intensive workshops, case studies, and direct investor feedback—mirrors successful accelerator models like Y Combinator's startup school. The key differentiator is the Rs 4 lakh grant, which provides immediate, non-dilutive capital for prototyping.
The course's focus on MVP development and market validation addresses a critical failure point. A 2024 study in the Journal of Business Venturing found that AI startups often overinvest in technology before confirming demand. By emphasizing customer discovery early, the programme aims to mitigate this risk.
Selection is competitive, with shortlisting based on an evaluation process. While details remain sparse, the diversity of eligible participants—from PhDs to product managers—suggests a broad funnel. The course could serve as a talent filter for investors scouting promising AI founders.
As India's AI policy evolves, with the government drafting a new National AI Strategy, initiatives like WSAI's course align with broader goals of fostering indigenous innovation. Whether this sprint produces the next AI unicorn or simply sharpens entrepreneurial skills, it underscores a maturing ecosystem where academia and industry converge.