In line with the Government of India’s commitment to advancing AI leadership, the IndiaAI Mission was approved on March 7th, 2024. The Mission aims to bolster India's global leadership in AI, foster technological self-reliance, ensure ethical and responsible AI deployment, and democratize the benefits of AI across all strata of society.

The IndiaAI Mission focuses on key pillars of the AI ecosystem, including Compute Capacity, Innovation Centre, Datasets Platform, Application Development Initiative, FutureSkills, Startup Financing, and Safe & Trusted AI. Implemented by “IndiaAI” – an independent business division of Digital India Corporation, the Mission strives to create a robust AI infrastructure and ecosystem in India.

One of the key initiatives under the IndiaAI Mission is the IndiaAI FutureSkills, which seeks to break down barriers to AI education by focusing on higher education and coordinating with existing skilling efforts. Initially, fellowships under the IndiaAI FutureSkills will be offered to students in B.Tech. and M.Tech. programs at all engineering institutes who undertake AI projects, thus bridging the gap between theoretical knowledge and practical application and ensuring a workforce proficient in essential AI skills.

IndiaAI invites all engineering institutes to be part of this initiative. Institution's participation will be instrumental in advancing AI education and research in India. By submitting the nominations for the IndiaAI FutureSkills Fellowships, students can be empowered to become leaders in AI innovation and application. This opportunity will not only enhance institute's contribution to the AI ecosystem but also ensure your students gain valuable skills and experience thereby fostering a future-ready AI workforce.

Please follow this link to submit the nomination.

Eligibility Criteria

1. Pursuing full-time B.Tech. having completed their 3rd year.
2. B.Tech. students should have completed at least 3 full-time courses till the last semester that are AI-related, e.g., Fundamentals of Artificial Intelligence, Data and Data Management Systems, Computer Vision, Neural Networks, Machine Learning, Natural Language Processing, etc.
3. B.Tech. students should have attained an overall 80% marks or equivalent grade until the last completed semester. In case any student with less than 80% marks is recommended by the institute, the justification for the same may be provided. Such an application will be considered based on justification provided and availability of fellowships.
4. 1st Year full time M.Tech. students should be pursuing postgraduate studies in AI-related courses.

Guidelines

• The nominations must be submitted with endorsements from the professor under whom the project/thesis is being undertaken and the head of the department/registrar/head of the institution.
• Nominations must follow the prescribed format as mentioned below. 

1. Undertaking from the Project guide
2. Endorsement by the Head of department/ Registrar/Head of Institution

• Students are expected to publish research papers emerging from the project work in leading academic journals.
• If a student fails to achieve the required minimum grade as per the guidelines, the disbursement of subsequent tranches of funds will be withheld.

Checklist

• Filled Nomination proforma as per the format along with original signature of student and signed and stamped by the Project Guide.
• Signed and stamped endorsement letter from the Institute Head/Registrar/HoD on official letterhead as per the format
• Signed and stamped endorsement letter from the project guide on official letterhead as per the format 
• Original mark sheet of all the semester of B.Tech & M.Tech consolidated (whatever applicable)
• Original GATE Score card (For M.Tech Students only)
• APAAR Id screenshot verified by Digilocker 
• Cancelled Bank Account cheque or cover page of passbook (Bank account should be in the name of Student)

For any further queries, please reach out to us at pmu.etech@meity.gov.in