Diploma In Artificial Intelligence Engineering
The Department of Artificial Intelligence Engineering emphasizes both the theoretical foundations and practical applications of AI technologies. It provides comprehensive training in areas such as machine learning, deep learning, data science, natural language processing, computer vision, and AI-driven systems. The curriculum is crafted to develop students’ analytical thinking, problem-solving abilities, and technical expertise, preparing them for a wide range of careers in the dynamic and fast-growing field of artificial intelligence and intelligent systems development.
Our Vision
To produce graduates with a strong and comprehensive understanding of the core principles of Artificial Intelligence, empowering them to become innovative leaders and pioneers in the AI industry.
Our Mission
To provide opportunities for diploma students to play a pivotal role in various domains of modern AI technologies. It aims to develop, test, and demonstrate how Artificial Intelligence can effectively address real-world challenges across diverse sectors, serving both the nation and humanity. The department emphasizes environmental awareness, safety, and economic responsibility while delivering intensive training in AI tools and applications. This prepares students to become technically skilled professionals ready for successful careers and advanced research in the field of Artificial Intelligence.
Faculty Profile
Ms. G. Sivagami Pursuring Ph. D
Professor
Ms.K.Swetha
Lecturer
Ms. Banu Priya
Lab Incharge
Ms.T.Manasa
Computer Lab Instructor
PROGRAM EDUCATIONAL OBJECTIVIES (PEOs):
The Diploma in Artificial Intelligence Engineering program is committed to preparing students as skilled professionals who can meet industry demands while upholding ethical and societal responsibilities. Upon completion of the program, graduates will be able to:
PEO1: Develop into proficient diploma-level Artificial Intelligence Engineering technicians by aligning academic knowledge with the evolving needs of the industry, and by building a strong foundation for continued learning.
PEO2: Become productive professionals equipped with leadership and collaborative skills, practical expertise, effective communication, and up-to-date knowledge in multidisciplinary domains.
PEO3: Attain in-depth technical skills in specialized areas while also gaining the ability to work across disciplines and take up supervisory roles.
PEO4: Foster professionalism through successful completion of the program with a strong emphasis on industry-relevant field practices and hands-on experience.
PEO5: Be socially and economically responsible individuals who are committed to community values and environmental sustainability.
PROGRAM SPECIFIC OUTCOME(PSOs):
PSO1: Foundation of Computer Systems
Demonstrate an understanding of the principles and functioning of computer systems, with the ability to evaluate both hardware and software components effectively.
PSO2: Foundations of Artificial Intelligence
Understand the structure and development methodologies of Artificial Intelligence and Machine Learning. Possess professional skills in Python programming and data analysis, with practical competence in a wide range of open-source platforms and AI tools.
PSO3: Foundation of Mathematical Concepts
Apply mathematical techniques to solve computational problems and model real-world scenarios using appropriate data structures and algorithms. Leverage this expertise in developing AI-based solutions and exploring entrepreneurial opportunities, supported by knowledge gained through industrial training.
PROGRAM OUTCOMES (POs):
PO1: Basic and Discipline-Specific Knowledge
Apply knowledge of basic mathematics, science, engineering fundamentals, and specialization in Artificial Intelligence to solve defined engineering problems.
PO2: Problem Analysis
Identify and analyze well-defined engineering problems using standard codified methods.
PO3: Design and Development of Solutions
Design solutions for clearly defined technical problems and contribute to the development of system components or processes that meet specified needs.
PO4: Engineering Tools, Experimentation, and Testing
Utilize modern engineering tools and techniques to conduct standard tests and measurements effectively.
PO5: Engineering Practices for Society, Sustainability, and Environment
Apply appropriate technologies in alignment with societal needs, sustainable development, environmental considerations, and ethical practices.
PO6: Project Management
Apply engineering management principles, working effectively as an individual, team member, or leader, and communicate efficiently in the execution of well-defined engineering activities.
PO7: Life-Long Learning
Demonstrate the ability to assess personal learning needs and engage in continuous learning to keep pace with technological advancements.