SAWiT.AI Announces Initiative to Train 500,000 Women in Gen AI Skills
SAWiT.AI, a collaborative effort between South Asia Women in Tech (SAWiT) and GUVI,has recently announced an initiative to train 500,000 Indian women in AI skills. This is the world’s largest women-only Generative AI Learning Challenge, aims to bridge the gender gap in the workforce and position India as a global leader in AI innovation. India’s female workforce participation rate was a mere 24% in 2022, significantly lower than China’s 61%. This low participation rate is a critical issue as over half of urban women are homemakers. Studies by the McKinsey Global Institute estimate that increasing female workforce participation by just 10% could add a staggering $550 billion to India’s GDP. The initiative will provide hands-on experience with leading AI tools, supported by a distinguished advisory council that includes Roshni Nadar Malhotra, Chairperson of HCL Tech, Samantha Ruth Prabhu, an acclaimed actor and women’s empowerment advocate, and Farzana Haque, a Senior Leader at Tata Consultancy Services. The SAWiT.AI initiative comprises three main events: SAWiT.AI Learnathon (September 21, 2024): A hands-on learning experience in Generative AI. SAWiT.AI Hackathon (October 2024): The world’s largest women-led Generative AI challenge, where teams develop advanced AI applications. SAWiT.AI Festival (November 2024): Celebrating Generative AI innovation, awarding challenge winners, and recognizing pioneering institutions, partners, and sponsors. Women from both tech and non-tech backgrounds are encouraged to apply. Interested candidates can register at the SAWiT.AI registration page for a nominal fee of INR 99, with the deadline for registration set for September 18, 2024.
Studies by the McKinsey Global Institute estimate that increasing female workforce participation by just 10% could add a staggering $550 billion to India’s GDP.
SAWiT and GUVI aims to train 500,000 Indian women in AI skills which is the world's largest women-only Generative AI Learning Challenge.
["ai announcements", "Generative AI", "Women in Tech"]
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["AI", "generative AI", "Aim", "RAG", "R", "innovation", "programming_languages:R"]
A software engineer who loves to experiment with new-gen AI. He also happens to love testing hardware and sometimes they crash. While reviving his crashed system, you can find him reading literature, manga, or watering plants.