Microsoft and IndiaAI Collaboration

Source: PIB

Context: IndiaAI, under the Digital India Corporation, has partnered with Microsoft to harness the potential of Artificial Intelligence (AI) for inclusive development and economic transformation.

About Microsoft and IndiaAI Collaboration:

• What it is: A strategic partnership to advance India’s AI ecosystem through training, innovation, and responsible AI development.

• Features: Skill Development: Train 500,000 individuals, including students, educators, women entrepreneurs, and developers, by 2026. AI Catalysts: Establish Centers of Excellence in Tier 2 and Tier 3 cities, fostering rural AI innovation and empowering 100,000 AI innovators and developers. AI Productivity Labs: Set up labs in 20 training institutes across 10 states to train 20,000 educators and 100,000 students in foundational AI skills. Support for Startups: Extend benefits like Azure credits and mentorship to 1,000 AI startups through Microsoft’s Founders Hub program.

• Skill Development: Train 500,000 individuals, including students, educators, women entrepreneurs, and developers, by 2026.

• AI Catalysts: Establish Centers of Excellence in Tier 2 and Tier 3 cities, fostering rural AI innovation and empowering 100,000 AI innovators and developers.

• AI Productivity Labs: Set up labs in 20 training institutes across 10 states to train 20,000 educators and 100,000 students in foundational AI skills.

• Support for Startups: Extend benefits like Azure credits and mentorship to 1,000 AI startups through Microsoft’s Founders Hub program.

About IndiaAI Mission:

• Launched in: Under Digital India Corporation, Ministry of Electronics and Information Technology (MeitY).

• Aim: Establish an ecosystem for AI innovation through public-private partnerships. Democratize AI for inclusive and sustainable growth. Deploy over 10,000 GPUs for advanced AI computing infrastructure.

• Establish an ecosystem for AI innovation through public-private partnerships.

• Democratize AI for inclusive and sustainable growth.

• Deploy over 10,000 GPUs for advanced AI computing infrastructure.

• Features: Promote responsible and indigenous AI capabilities. Enhance data quality and accessibility for AI solutions. Support startups and foster AI adoption in underserved areas. Drive AI applications in citizen-centric sectors like healthcare and education.

• Promote responsible and indigenous AI capabilities.

• Enhance data quality and accessibility for AI solutions.

• Support startups and foster AI adoption in underserved areas.

• Drive AI applications in citizen-centric sectors like healthcare and education.

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