M1: To provide quality education in Artificial Intelligence and Machine Learning through innovative teaching and practical learning.

M2: To develop students’ technical, analytical, and problem-solving skills for industry and research applications.

M3: To encourage research, innovation, and entrepreneurship in emerging AI technologies and to promote ethical and socially responsible by use of Artificial Intelligence technologies.

M4: To collaborate with industries and academic institutions for real-world exposure and lifelong learning.

PEO1 : Our Diploma graduates will acquire strong foundational knowledge in Artificial Intelligence, Machine Learning, programming, and data analytics to solve real-world problems effectively.

PEO2 : Our Diploma graduates will pursue higher education, entrepreneurship, research, certifications, and lifelong learning to adapt to emerging technologies and industry needs.

PEO3 : Our Diploma graduates will demonstrate professional ethics, communication skills, teamwork, leadership qualities, and social responsibility in multidisciplinary environments

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

2. Problem analysis: Identify and analyse well-defined engineering problems using codified standard methods.

3. Design/ development of solutions: Design solutions for well-defined technical problems and assist with the design of systems components or processes to meet specified 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 analyse individual needs and engage in updating in the context of technological changes.

PSO1: Ability to design, develop and implement Artificial Intelligence and Machine Learning solutions using modern programming languages, tools and frameworks for real-world applications.

PSO2: Ability to apply data analytics, deep learning, computer vision and natural language processing techniques to solve domain-specific problems effectively.

PSO3: Ability to analyze datasets, build predictive models and optimize intelligent systems using mathematical, statistical and computational techniques.