The Department of CSE - Artificial Intelligence & Machine Learning at Sai Vidya Institute of Technology is committed to excellence in education, research, and innovation. With a strong foundation in AI, data science, deep learning, and intelligent systems, the department nurtures future-ready engineers equipped to meet the evolving demands of technology and industry.
Through hands-on learning, research-driven projects, and active industry collaborations, the department provides an environment that blends creativity with technical expertise. Proudly, the 2021 batch students secured four university ranks at the VTU level, reflecting our dedication to academic quality and student success.
By combining academic rigor with practical learning, the department continues to create an ecosystem where knowledge meets creativity, empowering future engineers to design intelligent solutions that make a meaningful impact on society.
VisionTo develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning to architect Strong India and the world. Mission
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| PEO1 : Graduates will have the ability to Analyze, Develop and Apply Innovative ideas to solve real-world problems using Artificial Intelligence and Machine Learning techniques. |
| PEO2 : To pursue higher studies, Graduates will have the ability to contribute novel and scientific research-oriented methods in the Artificial Intelligence and Machine Learning area. |
| PEO3 : Excellence in Entrepreneurial Skills, professionalism, moral and ethical conduct, understanding of social context, and strong communication skills to meet the industry's expectations. |
| PO1 : Engineering Knowledge - Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| PO2 : Problem Analysis - Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| PO3 : 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. |
| PO4 : Conduct Investigation of complex problems - Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
| PO5 : Modern Tool Usage - Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
| PO6 : The Engineer and Society - Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. |
| PO7 : Environment and sustainability - Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| PO8 : Ethics - Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| PO9 : Individual and team work - Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO10 : Communication - Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
| PO11 : Project management & Finance - Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. |
| PO12 : Life Long Learning - Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
| PSO1 : Demonstrate the knowledge and understanding of working principles, design, implement, test and evaluate the hardware and software components of a computer system. |
| PSO2 : Apply standard Software Engineering practices and strategies in software project development. |
| PSO3 : Demonstrate the knowledge of Discrete Mathematics, Data management and Data engineering. |