About Us:

"The Department of AIML Engineering was established in the year 2023 with an intake of 60 students for Undergraduate program. The department has well-equipped, Laboratories qualified and experienced faculty members and excellent infrastructure. The Department has good academic curriculum. It is one of the most popular courses among engineering students. Our AIML Department is at the forefront of technological innovation, dedicated to shaping future leaders in the field. The syllabus is precise by Visvesvaraya Technological University includes the following areas of learning:"

Mission:

"To develop state of the art academic and infrastructural facilities with modern equipment and e-Learning resources to produce self-sustainable professional in the field of Artificial Intelligence & Machine Learning. To develop professionals who are skilled in the area of Artificial Intelligence and Data Science."

Vision :

"To develop skilled professional in the field of Artificial Intelligence &Machine Learning contributing globally to the benefit of industry and society."

Learning Outcomes :

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and computer science and business systems to the solution of complex engineering and societal problems.
• Problem analysis: Identify, formulate, review research literature, and analyze complex engineering and business problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• 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: 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.
• 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
• 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 and business practices
• Environment and sustainability: Understand the impact of the professional engineering solutions in business societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering and business practices.