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A field of computer science that trains computers to replicate the human vision system. This enables digital devices (like face detectors, QR Code Scanners) to identify and process objects in images and videos, just like humans do.
The primary objectives of the AI Mission includes establishing robust computing powers for AI within India. The mission seeks to enhance services for startups and entrepreneurs while fostering AI applications in critical sectors such as agriculture, healthcare, and education.
Engineering knowledge: Apply the knowledge of mathematics, science, engineering, data science fundamentals, and artificial intelligence to solve complex engineering problems.
Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems to create solutions using the first principles of mathematics, engineering sciences, and data science.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Apply research methods including design of experiments, statistical analysis and business interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate Artificial intelligence principles, techniques, modern engineering and IT tools including prediction and modelling to model complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning using contextual knowledge to assess the needs of societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to data science engineering practice.
Environment and sustainability: Understand the impact of artificial intelligence solutions in societal and environmental contexts, and demonstrate the knowledge for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and to execute responsibilities and adhere to norms of the engineering profession.
Individual and team work: Execute professional functions effectively as an individual, as well as a leader or member in diverse multidisciplinary teams.
Communication: Communicate effectively with the engineering community and with society in solving complex problems in terms of being able to comprehend and write effective reports, make effective presentations, as well as execute and receive clear instructions.
Project management and finance: Demonstrate an ability to use management principles and apply these to one’s own work, as a member and lead projects and build cost models in an interdisciplinary professional setting.
Lifelong learning:Inculcate the ability to prepare for lifelong learning in the context of technological change.
Analyze and recommend the appropriate IT infrastructure and Tools required for the implementation of projects based on Artificial Intelligence and Data Science.
Ability to contribute to problem identification, analysis, design, and development of systems using principles and concepts of Artificial Intelligence and Data Science.
Implement computing solutions for real world problems and carry out basic and applied research leading to new innovations in Information Technology (IT) and related interdisciplinary areas.
Apply knowledge of societal impacts of information technologies in the course of their career related activities ethically and appropriately.
Have strong communication and interpersonal skills, broad knowledge, and an understanding of multicultural and global perspectives to work effectively and ethically in multidisciplinary teams, both as team members and leaders.
Engage in life-long learning, to remain current in their profession and obtain additional qualifications to enhance their career positions in IT industries.