Artificial Intelligence and Machine Learning

Department Message

The Department of Artificial Intelligence and Machine Learning at Amruta Institute of Engineering and Management Sciences, affiliated to VTU, offers a four-year B.E. program designed to meet the growing demands of the AI-driven world. The curriculum encompasses a broad range of subjects, including Python programming, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Analytics, and Robotics.

Our department is equipped with modern laboratories, expert faculty, and access to interdisciplinary resources. We foster a culture of innovation and application-oriented learning through academic projects, internships, hackathons, and entrepreneurship support, provided by the college’s Idea Lab and Incubation Centre.

The department actively engages in enhancing student competencies through workshops, certification programs, industry tie-ups, and technical clubs. Our graduates are well-positioned for careers in research, product development, data science, and intelligent systems, or for higher education in leading institutions.

We are committed to fostering technical excellence, ethical values, and a mindset of continuous learning in all our students.

Prof. Shreyas Shivananjappa

BE , M.Tech, M.E.M (Ph.D)

Welcome to the Department of Artificial Intelligence and Machine Learning at Amruta Institute of Engineering and Management Sciences.

It is a privilege to serve as the Head of this dynamic and forward-thinking department. With AI transforming the world at an unprecedented pace, we are committed to preparing students who can lead this transformation with innovation, ethics, and a strong technical foundation.

Our VTU-aligned curriculum is not only comprehensive in covering emerging AI and ML domains such as Deep Learning, Data Science, and Natural Language Processing, but also ensures that students build strong programming, algorithmic, and analytical thinking skills. We integrate theory with hands-on lab work, case studies, and capstone projects to foster real-world problem-solving abilities.

As a department, we emphasise student-centric learning, faculty mentoring, industry interaction, and research exploration. Our goal is to nurture professionals who can contribute meaningfully to society through intelligent systems, responsible AI practices, and lifelong learning.

I invite all aspiring engineers to join us and be part of a journey where curiosity, creativity, and competence drive excellence.

Course Overview

Artificial Intelligence and Machine Learning is a branch of study or discipline which includes theories, standards, methods and innovations of various different domains like mathematics, cognitive science, electronics and embedded systems to make intelligent systems that mimic human behavior.

Vision, Mission, PEOs, PSOs and POs

VISION

To create the young minds into an excellent AI and ML professionals with intense practical, research & managerial skills to meet technological and social needs of the Society.

MISSION

To impart strong theoretical and practical exposure to meet global standard quality education
To provide state of art Infrastructure for young thinking minds with active research and teaching-learning environment.
To develop socially responsible human beings with professional ethics and high leadership qualities.

PROGRAM EDUCATIONAL OBJECTIVES (PEO'S)

PEO 1	Graduates will be able to poses a successful Software Engineering career.
PEO 2	Graduates will be active into research and able to pursue higher education
PEO 3	Graduates will be professionals with ethics, who acts as assets to the IT Industries with good human values and serve as social responsible citizens
PEO 4	Graduates shall have proficient Technical, managerial and communication skills to become global competent professionals.

PROGRAM SPECIFIC OUTCOMES (PSO'S)

PSO 1	Understand fundamentals of Artificial Intelligence and Machine language concepts with proficiency in programming Skills to develop efficient AI based software system.
PSO 2	Apply Artificial Intelligence and machine language concepts to design, develop and solve real world problems as per user requirements.
PSO 3	Integrate the Engineering skills and serve the industry and society equally well at the global standards

PROGRAM OUTCOMES (PO'S)

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 modelling 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.