Artificial Intelligence and Machine Learning

Artificial Intelligence & Machine Learning (AI&ML) is anemerging program that is quickly extending its limits to variety of fields like medical services, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, image processing, stock exchange, prediction problems and many more. Artificial intelligence is an innovation that permits a system to mimic human behaviour which is concerned with creating intelligent machines. Machine learning (ML) is an application of AI that tries to build self-learning ability into the machines.AI&ML is the significant area of digital world which has created plenty of job opportunities.

The department of Artificial Intelligence & Machine Learning (AI&ML) was established in the year of 2021with an intake of 60 students. The department has outstanding laboratories and qualified faculty. The department conducts programs like guest lectures, seminars, workshops, project expos, and many more technical events to nurture students in the domain of AI and excel their careers. The department also conducts skill improvement programs for upskilling the students to get ready for the needs of industry along with the academics.

CAREER OPPORTUNITIES

Artificial Intelligence and Machine Learning (AI&ML) offer several roles like Data Engineer, Automation and Optimization Engineer, Natural Language Processing Scientist, Game Developer, Robotics Professional, Research Scientist, Machine Learning Developer, AI Consultant, Machine Learning Architect, etc., and these roles are in demand in various industries such as technology, healthcare, finance, e-commerce, and more. As the field continues to advance, new and specialised roles are likely to emerge, creating even more opportunities in the AIML department. Continuous learning and staying updated with the latest developments in AI and ML are crucial for a successful career in this dynamic field.

To create competent Engineers with solid foundation in the domain of Artificial Intelligence and Machine Learning to contribute in uplifting of rural communities.

1. To create an ambience that facilitates blended learning and extensive use of emerging technologies as a path forward to meaningful employment in the field of artificial intelligence and machine learning. 
2. To facilitate collaborative learning with multi-disciplinary teams that encourage research initiatives leading to innovations. 
3. To inculcate among students the highest level of professional conduct and ethical values.

PO1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2 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.

PO3 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.

PO4 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 valued conclusion.

PO5 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.

PO6 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.

PO7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contest and demonstrate knowledge of and need for development.

PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO10 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.

PO11 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.

PO12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest contest of technological change.

1. Graduates will be able toapply the domain knowledge and the technological skills to gain meaningful employment and adapt to the ever demand of technological landscape.
2. Graduates will be able to pursue and excel in higher education and research.
3. Graduates will be able to evolve as leaders exhibiting highest level of ethics.

PSO1: Students will be able to utilize core principles of Artificial Intelligence Engineering for the design, development and prototyping of AI Subsystems.         

PSO2: Students will be able to employ acquired knowledge in data storage, data analytics, and Machine Intelligence to address and solve practical business challenges.