Artificial Intelligence

To strive for the development of technocrats and empower them to face ever-changing challenges in the field of Artificial Intelligence and Machine Learning (AI & ML).

M1 – To impart quality education with contemporary industry needs and emerging AI & ML techniques.

M2 – To develop employability and entrepreneurial skills in students.

M3 – To inculcate lifelong learning with ethical and sustainable practices.

 1. Provide socially responsible, environment-friendly solutions to AIML-related broad-based problems adapting professional ethics.

2. Adapt state-of-the-art AIML broad-based technologies to work in multi-disciplinary work environments.

3. Solve broad-based problems independently and collaboratively, communicating effectively in the world of work.

1. Basic and Discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve Engineering problems.

2. Problem Analysis : Identify and analyze well defined engineering problems using codified standard method.

3. Design/development of solutions: Design solutions for well defined technical problems and assist with the design of systems components or processes to meet specific needs.

4. Engineering tools, Experimentation and Testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements.

5. Engineering practices for society, sustainability and Environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices.

6. Project Management: use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well defined engineering activities

7. Life-long learning: Ability to analyze individual needs and engage in updating in the learning in the context of technological changes.

1. Ability to apply fundamental principles, algorithms, and techniques in artificial intelligence and machine learning.

2. Design cutting-edge AIML-based models by innovating, optimizing models, integrating data, and ensuring scalability.