• Name of Programme Diploma in Artificial Intelligence and Machine Learning (AN)
  • Sanctioned Intake Regular 60
  • Duration 3 Years
  • Course Code AN
AIML Department

Artificial Intelligence and Machine Learning (AN) Department strives to educate students to become Industry ready Engineers having Professional attitude and groomed personality.

  • To provide well defined system to ensure quality education by strengthening teaching learning processes through innovative practices.

  • To provide a platform where students are exposed to the Industry, up bridged with the industry standards and requirements.

  • To train students by teaching them leadership and teamwork skills.

  • To groom students enriching their personality and social values.

Department of Artificial Intelligence and Machine Learning is established in 2023 with an intake of 60 students. The aim of the department is to establish a state of the art knowledge center in Artificial Intelligence and Machine Learning Research which produces engineers imbibed with the spirit of professionalism & responsible citizenship. The department has well-equipped laboratories, highly qualified & experienced & devoted team of teaching faculty members. Conducive learning environment exists in the department for both students and staff. High-quality technical education keeping in mind the industrial requirement is provided to the students in the areas of Artificial Intelligence and Machine Learning in order to meet the challenges of the industries. The department has a Students mentoring Scheme to assist the students in their learning difficulties and to monitor their academic performance regularly. Mentors interact with students and offer them emotional as well as academic support along with motivation. The department caters to the needs of Artificial Intelligence and Machine Learning sector by imparting a requisite knowledge to the students, in the field of software development, Java Programming, Software Engineering, Data Communication and Computer Networks, Microprocessors and Data Structure using Python and many advanced topics.

PEO1: Provide socially responsible, environment friendly solutions to Artificial Intelligence and Machine Learning (AN) related broad-based problems adapting professional ethics.

PEO2: Adapt state-of-the-art Artificial Intelligence and Machine Learning (AN) broad-based technologies to work in multi-disciplinary work environments.

PEO3: Solve broad-based problems individually and as a team member communicating effectively in the world of work.

PO1. Basic and Discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve the engineering problems.

PO2. Problem analysis: Identify and analyze well-defined engineering problems using codified standard methods.

PO3. Design/ development of solutions: Design solutions for well-defined technical problems and assist with the design of systems components or processes to meet specified need.

PO4. Engineering Tools, Experimentation and Testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements.

PO5. Engineering practices for society, sustainability and environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices.

PO6. 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.

PO7. Life-long learning: Ability to analyse individual needs and engage in updating in the context of technological changes.

PSO 1. Computer Software and Hardware Usage: Use state-of-the-art technologies for operation and application of computer software and hardware.

PSO 2. Artificial Intelligence and Machine Learning (AN) Maintance: Maintain Artificial Intelligence and Machine Learning (AN) related software and hardware system.