Approved by AICTE
Approved by the All Indian Council for Technical Education (AICTE), New Delhi.

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Permanently Affiliated to JNTUK
Permanently Affiliated to Jawaharlal Nehru Technological University Kakinada (JNTUK), Kakinada.

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Accredited by NAAC with A Grade
Awarded ‘A’ grade by National Assessment and Accreditation Council (NAAC) with CGPA 3.09/4.

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Recognized by UGC
Recognized under section “2f & 12B UGC Act ”

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ISO Certified
ISO 9001:2015 Certified by BMQR, Chennai.

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Recognized by NMEICT
NMEICT Recognized Remote Center for ISTE workshops with IITs.

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Recognized by TCS ION
TCS ION Recognized Test center for Online Exams.

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About Department

Department of AIML is started in the year 2021. It is offering B.Tech in Artificial Intelligence And Machine Learning with an annual intake of 60 students.

The Department focuses on preparing the students for wide range of IT careers equipping them with unique enriching experience of molding tomorrow's technocrats with high caliber and commitment. The department has excellent faculty having years of experience in academics & Industry. 

The Department provides extensive computing resources for research and education. This includes more than 200 high-performance computers.

The AIML Department effectively prepares students to pursue leadership, technical, and management positions in a variety of industries. Students have obtained successful placements at leading companies like IBM etc.

Department Library:

Artificial Intelligence And Machine Learning department is equipped with a library apart from the Central Library of the Institution. Department Library comprise of a substantial No. of Volumes, Magazines and Reference Books for ready reference to its Staff and Students. Rich collection of books on recent technologies makes the student improve his technical skills. 

Vision & Mission

Department Vision

  • To be a centre of excellence in Artificial Intelligence And Machine Learning and take up challenge for the benefit of society.

Department Mission

  • Impart professional education through best curriculum in harmony with the industry needs.
  • Inculcate ethics, research capabilities and team work in the young minds so as to put efforts to the advancement of the nation.
  • Strive for student success with leadership qualities and prepare them for continuous learning in the global environment.



The graduates of the program will

• PEO-1: Excel in the fundamental concepts of basic engineering and advanced concepts of Artificial Intelligence And Machine Learning.

• PEO-2: Pursue career in professional computing industry or pursuing higher studies.

• PEO-3: Excel in team work, ethics, communication skills and contribute to the benefit to the society.



• PSO-1 : Apply the knowledge of programming languages, data structures and Algorithms, data science, networks and software engineering principles for software product development.

• PSO-2 : Able to analyze and formulate solutions to real world and socially relevant problems over multi disciplinary domains by using latest technologies.


Program Outcomes

• PO-1 : Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

• PO-2 : 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.

• PO-3 : 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.

• PO-4 : 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.

• PO-5 : 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.

• PO-6 : 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.

• PO-7 : 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.

• PO-8 : Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

• PO-9 : Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

• PO-10 : 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.

• PO-11 : 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.

• PO-12 : 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.

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