AICTE to integrate AI in core engineering: The All India Council for Technical Education (AICTE) intends to update the curriculum shortly in order to modernize the core engineering branches and increase their value by incorporating Artificial Intelligence (AI) technology. In an effort to create a workforce that is ready for the future, the AICTE has declared 2025 to be the Year of AI.
Profclaim that the AICTE plans to include interdisciplinary AI modules in the core engineering branchescurriculum. TG Sitharam, chairman of the AICTE. In order to serve as a model for future integrations across other essential engineering branches, the AICTE has already started the process by introducing AI components into the recently introduced undergraduate Electrical Engineering curriculum. It is anticipated that all branches will have their updated curricula fully implemented by 2025.
Implementation Plan
The AICTE approval bureau will review the AI implementation plans that each institution submits, as the AICTE has urged them to do. According to Prof. Sitharam, the AICTE has advised colleges to create “AI Student Chapters” as part of the nationwide initiative “AI for All: The Future Begins Here.”
In order to ensure that these initiatives are in line with industry trends and moral AI practices, the AICTE will offer resources and guidelines for their establishment at the relevant colleges and universities. Raising student awareness of AI and providing courses on cybersecurity and AI in a variety of subject areas are essential. This should apply to all of the programs the institution offers, not just those in computer science or information technology.
Explaining the role of AI in Core Branch of Engineering
AI has already significantly advanced the fields of electronics, mechanical, electrical, and civil engineering.For instance, AI tools are utilized in civil engineering to design smart buildings, according to Prof. Sharma explains when discussing the role of AI in core engineering branches. Artificial intelligence (AI) can be used in environmental engineering to forecast air pollution levels and river water quality.
Such predictions can be made with AI, which learns from data. AI is also used in mechanical engineering to help create driverless cars and other autonomous vehicles. All of these demonstrate how AI has already been incorporated into traditional engineering domains. AI and machine learning are crucial elements of smart grids in electrical engineering.
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Problems with teething
Early AI adoption will provide institutions with state-of-the-art expertise. Finding qualified faculty to teach AI courses in a variety of fields is the largest obstacle. Faculty members cannot be hired to teach AI courses exclusively. Training current faculty members in AI applications within their fields becomes essential.
- Due to a lack of funding and opposition to change, colleges may initially encounter difficulties when implementing interdisciplinary AI courses and research programs.
- The institutions will need to aggressively look for funding to improve AI infrastructure and capabilities through AICTE grants, industry sponsorships, alumni contributions, and other sources in order to overcome these obstacles.
- Workshops for students and extensive faculty development programs are planned to increase competence with AI tools and technologies.
- To ensure long-term sustainability, the emphasis will be on starting modular and scalable AI projects that can grow and change as more resources become available, according to Sathiyabhama.
