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 10 students in B.Tech. and M.Tech. programs at top 50 NIRF ranked engineering colleges (current ranking) 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 the top 50 NIRF ranked 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 so submit the nomination.

Eligibility Criteria

1. Pursuing full-time B.Tech. having completed their 3rd year OR fresh enrolments in full-time M.Tech.
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. M.Tech. students should be pursuing postgraduate studies in AI-related courses.

Guidelines

1. 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.
2. Nominations must follow the prescribed format that is shared below under "submitting the form: quick steps" and must be submitted by the deadline.
3. Students are expected to publish research papers emerging from the project work in leading academic journals.
4. If a student fails to achieve the required minimum grade as per the guidelines, the disbursement of subsequent tranches of funds will be withheld.

Submitting the Form: Quick Steps

• Download the nomination proforma document and complete it as per the above guidelines.
• Click here to submit the form. You will be prompted to sign up on the website before submitting the form, make sure to use an email address that you can access easily for verification and communication purposes.
• Fill the online form, upload the pre-filled nomination proforma in a PDF format and other necessary documents, then submit.

Last date of submission 31st August 2024