Undergraduate Program

Department of Artificial Intelligence and Machine Learning

The department of Artificial Intelligence and Machine Learning was established in the Academic year 2021-2022 with an intake of 60 students. Artificial intelligence (AI) is the emerging field of computer science and Engineering having an influence on conventional knowledge acquisition, processing, and inference. AI defines the world by building self-learning and decision-making machines learning through experience. AI is to build simulations of human intelligence on machines. In achieving Machine Intelligence, Machine Learning (ML) plays a vital role. Hence AI and ML are bought together.

Artificial intelligence and Machine Learning have made their way into a wide variety of markets. It is used in health, banking, Education, law, and all that you can name. Simply AI and ML are promising to build a better future by humanizing the technology.

The department has good infrastructure with state-of-the-art laboratories, well-equipped classrooms, a central library with an adequate number of books, and high-speed Internet. To nourish the young minds Department has well-experienced and committed teaching and non-teaching staff members. Department supports students by providing all-around development and helps to build excellent academic tracks and to place in the renowned company.

Vision

To Achieve excellent standards of quality education in Artificial Intelligence and Machine Learning to cater the needs of emerging fields.

Mission

To nurture students with strong fundamentals in the stream of Artificial Intelligence and Machine Learning for their successful career
To build a conducive environment to learn professional and technical skills through value based education
To enrich and empower students caliber to contribute towards research and innovations

AIML

Department News & Events

December 17, 2025Dept. of AI & ML

AICTE Training and Learning (ATAL) Academy sponsored Six Days Offline Faculty Development Program (FDP)

October 4, 2025Dept. of AI & ML

AIGNITE 2.0 – Logo Reveal

PEO's

PO's

PSO’S

PEO1: To build successful careers in Artificial Intelligence, Machine Learning, Data Science, and related domains through strong technical skills, higher education, research, innovation, and continuous learning.

PEO2: To demonstrate professional ethics, leadership, teamwork, and social responsibility in developing intelligent and sustainable solutions for industrial and societal needs.

Program Outcomes (PO’s)

Engineering knowledge:Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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 practice.
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.
Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
Project management and 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.
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: Graduates will be able to analyze computing and real-world problems and develop intelligent solutions using Artificial Intelligence and Machine Learning techniques.

PSO2: Graduates will be able to apply programming, data analysis, and software development skills to design and implement AI-driven applications.

PSO3: Graduates will be able to use modern AI & ML tools and technologies effectively and adapt to emerging technological advancements in industry and research.

Every student’s academic journey is unique. How each chooses to take advantage of the opportunities to learn, grow, and flourish varies. Our alumni are passionate life-long learners and driven leaders, making a difference in the information field.

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