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News for 09-06-2026

Chandigarh University Launches India's First Private IndiaAI Data Lab in Partnership with Intel

SUMMARY

Chandigarh University has become the first private university in India to launch an IndiaAI Data Lab. Established in collaboration with Intel India, the lab aims to provide hands-on training and enhance employability.

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Chandigarh University in Punjab has become the first private university in India to launch an ‘IndiaAI Data Lab’.

The lab has been established in partnership with Intel India to enhance students’ employability by providing industry-relevant skills in AI, Data Science, and emerging technologies.

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Chandigarh University in Punjab has become the first private university in India to establish an IndiaAI Data Lab in partnership with Intel India. Housed within the university’s University Institute of Computing, the laboratory acts as a simulated apprenticeship platform to provide students with hands-on technical training. This initiative aims to bridge the gap between academic learning and industry requirements, enhancing student employability in artificial intelligence, data science, and other emerging fields.

Chandigarh University Establishes India’s First Private IndiaAI Data Lab

The IndiaAI Data Lab was officially inaugurated at Chandigarh University, marking a milestone in Indian higher education. This collaboration with Intel India makes Chandigarh University the first private institution in the country to establish such a specialized data facility. The launch event was attended by representatives from both organizations, including Chandigarh University Vice-Chancellor Prof. (Dr.) Raviraja N. Seetharam and Intel India Senior Director of Asia Pacific and Japan for Government Partnerships and Initiatives Shweta Khurana.

The primary objective of the laboratory is to integrate industry-standard tools and workloads into the academic curriculum. Intel has equipped the facility with state-of-the-art computing hardware, including dedicated AI personal computers (PCs). These units are configured with specialized processor architectures capable of handling complex neural network training and data science workloads, allowing students to develop local artificial intelligence models without relying solely on cloud environments.

The Simulated Apprenticeship Model and Academic Integration

The laboratory is structured around a simulated apprenticeship model, which is designed to give students practical exposure that mimics actual workplace environments. Instead of sticking only to traditional theoretical coursework, students will work on real-world projects, build machine learning models, and deploy software applications. The platform will also host collaborative hackathons and development challenges to foster peer learning and rapid prototyping.

This initiative is the culmination of a three-year partnership between the university and Intel India. As part of this long-term collaboration, Chandigarh University is launching new degree programs, including a Bachelor of Computer Applications (BCA) and a Master of Computer Applications (MCA) in Data Science. Under Intel’s Digital Readiness initiative, students can enroll in free, short-term online programs such as Introduction to AI, earning dual certifications that validate their technical competency to prospective employers.

Aligning with the National IndiaAI Mission

The establishment of the IndiaAI Data Lab aligns with the broader goals of the National IndiaAI Mission. Approved by the Union Cabinet on March 7, 2024, with a budget allocation of ₹10,371.92 crore to be spent over five years, the mission seeks to build a robust artificial intelligence ecosystem. It operates under the vision of Making AI in India and Making AI Work for India.

The national mission is structured around seven core pillars, including the IndiaAI FutureSkills initiative. This specific pillar focuses on expanding AI education, creating training pathways, and establishing data laboratories across educational institutions. By setting up the new data lab, Chandigarh University directly supports the government’s aim to address the growing demand for skilled AI and data engineering professionals.

Implementation and Institutional Support

At the central level, the National IndiaAI Mission is implemented by the IndiaAI Independent Business Division (IBD), which functions under the Digital India Corporation (DIC). The Digital India Corporation is a not-for-profit company set up by the Ministry of Electronics and Information Technology (MeitY) to manage digital initiatives across the nation.

While the lab at Chandigarh University supports the FutureSkills pillar, the broader mission comprises several other key initiatives. The IndiaAI Compute Capacity pillar aims to build a public-private partnership infrastructure with over 10,000 graphics processing units (GPUs) to make high-performance computing affordable. The IndiaAI Datasets Platform provides access to high-quality non-personal datasets, and the Safe & Trusted AI pillar focuses on developing national frameworks for ethical algorithms. These combined initiatives seek to position India as a global leader in technological innovation.

Key Takeaways

  • Chandigarh University in Punjab has established India’s first IndiaAI Data Lab at a private university in collaboration with Intel India.
  • The lab is housed within the university’s University Institute of Computing (UIC) and operates on a simulated apprenticeship model to provide hands-on training.
  • The National IndiaAI Mission was approved by the Union Cabinet on March 7, 2024, with a total budget allocation of ₹10,371.92 crore to be spent over five years.
  • The national mission is implemented by the IndiaAI Independent Business Division (IBD) under the Digital India Corporation (DIC) of the Ministry of Electronics and Information Technology (MeitY).
  • The lab aligns with the IndiaAI FutureSkills pillar, which aims to scale artificial intelligence education and hands-on technical training.
  • The collaboration has launched new Bachelor of Computer Applications (BCA) and Master of Computer Applications (MCA) degree programs in Data Science.

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