• AICTE CODE : 3516246374
  • DTE CODE : 6269
  • UNIVERSITY CODE : 11
Padmabhooshan Vasantraodada Patil Institute of Technology (PVPIT), Budhgaon, Sangli
Dr. Vasantraodada Patil Shetkari Shikshan Mandal's
Padmabhooshan Vasantraodada Patil
Institute of Technology (PVPIT), Budhgaon, Sangli
An Autonomous Institute | NAAC Approved | Approved By AICTE New Delhi & Recognized By Government Of Maharashtra,
Affiliated To Dr. Babasaheb Ambedkar Technological University (DBATU), Lonere

Department Of Artificial Intelligence And Machine Learning (Diploma)

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  • Department Of Artificial Intelligence And Machine Learning (Diploma)

Prof. Sanket Suryakant Ghodake

Head Of Department

The AIML department offers a comprehensive curriculum that covers fundamental and advanced concepts such as programming, data structures, algorithms, database management, artificial intelligence, machine learning, deep learning, natural language processing, computer vision, data analytics, cloud computing, and emerging technologies. The curriculum is designed to provide students with strong technical foundations along with practical exposure through laboratory sessions, projects, internships, workshops, and industry interactions.

Information About Department
 
Year of Establishment 09/07/2024
Head of Department Prof. Sanket Suryakant Ghodake
Commencement Year 15/08/2024
Contact 8421131443
Email Sanketghodake2797@gmail.com
Diploma Programme Intake : 60
Duration : 3 Years
Course Artificial Intelligence & Machine Learning
Total Classrooms 3 Classrooms
Tutorial Rooms 1
Laboratories 5
Vision
 

To be a center of excellence in Artificial Intelligence and Machine Learning education, research, and innovation by fostering academic excellence, ethical values, and lifelong learning. The department strives to produce competent professionals equipped with advanced technical knowledge, critical thinking, and problem-solving skills to develop intelligent solutions for real-world challenges. It aims to promote interdisciplinary research, industry collaboration, entrepreneurship, and social responsibility, preparing graduates to contribute effectively to technological advancements and the sustainable development of society at the global level.

Mission
 
  • M1 : To provide quality education in Artificial Intelligence and Machine Learning by delivering strong fundamentals, advanced technical knowledge, and practical skills through innovative teaching and learning methodologies.
  • M2 : To develop students' abilities in problem-solving, critical thinking, research, and innovation by providing hands-on experience with emerging AI and ML technologies.
  • M3 : To encourage industry collaboration, entrepreneurship, and interdisciplinary research for developing intelligent solutions to real-world problems.
  • M4 : To promote ethical practices, professional values, and social responsibility while preparing students for successful careers in the rapidly evolving fields of Artificial Intelligence and Machine Learning.