Aditya Engineering College established the Department of Artificial Intelligence and Machine Learning (AI&ML) in 2021 with an initial intake of 60 students .The department of AI&ML aims to give a strong foundation in computer science and problem-solving techniques. This program is duly approved by the AICTE and Govt. of A.P. and affiliated to JNTUK. The department has the professional association with ISTE and CSI. The skilled faculty members with high qualification are dynamic in teaching, research consultancy programs.

M1:

Impart rigorous training to generate knowledge through the state-of-the-art concepts and technologies in Artificial Intelligence and Machine Learning.

M2:

Transform AIML graduates into technically competent to meet Industrial and Societal challenges.

M3:

Inculcate values of professional ethics, leadership qualities and lifelong learning.

M3:

Establish centers of excellence in leading areas of computing and artificial intelligence.

To Produce world leaders in Artificial Intelligence and Machine Learning through excellence in education and research and build an ecosystem to contribute significantly to the society.

PEO 1:

Successfully be employed in industry and solve problems in the field of Computer Science and Engineering with Artificial Intelligence approach.

PEO 2:

Pursue advanced education, research and development, and other creative and innovative efforts in the domain of AI and ML

PEO 3:

Communicate effectively, work collaboratively and exhibit high levels of professionalism, moral and ethical responsibility.

PEO 4:

Graduates will develop the ability to understand and analyse engineering issues in a broader perspective with ethical responsibility towards sustainable development.

PO 1:

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

PO 2:

Identify, formulate, research literature and analyze complex engineering problems, reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PO 3:

Design solutions for complex engineering problems and design systems, components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations

PO 4:

Conduct investigations of complex problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.

PO 5:

Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities, with an understanding of the limitations.

PO 6:

Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineeringpractice.

PO 7:

Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and need for sustainable development.

PO 8:

Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PO 9:

Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.

PO 10:

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:

Demonstrate knowledge and understanding of engineering management principles and apply these to one’s own work, as a member and leader in a team and to manage projects in multidisciplinary environments

PO 12:

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.

PSO 1:

Design and develop Artificial Intelligence technology into innovative products for solving real world problems.

PSO 2:

select and apply appropriate techniques, resources and IT tools (Python Programming, R Studio, Tensorflow, Keras, and the other platforms providing AI solutions including AWS) which helps in building models using Artificial Intelligence.

PSO 3:

Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information using machine learning algorithms to provide valid conclusions.