Implanting knowledge in the area of Artificial Intelligence and Machine

Learning towards serving the greater cause of the society.

समाजपयोगी  कार्यासाठी आर्टिफिशियल इंटेलिजन्स आणि मशीन लर्निंगच्या क्षेत्रात ज्ञानाचे रोपण करणे


M1:To provide quality engineering education to the students through state of art of education.

अत्याधुनिक शिक्षणाद्वारे विद्यार्थ्यांना दर्जेदार अभियांत्रिकी शिक्षण देणे.

M2: To create learning environment that encourage students to solve complex problems.

विद्यार्थ्यांना समस्या सोडवण्यास प्रोत्साहित करणारे शैक्षणिक वातावरण तयार करणे.

M3: To prepare students industry ready by imparting Latest technologies &training

programs in the fields of Artificial Intelligence and Machine Learning

आर्टिफिशियल इंटेलिजन्स आणि मशीन लर्निंगच्या क्षेत्रात अद्ययावत तंत्रज्ञान आणि प्रशिक्षण कार्यक्रम देऊन विद्यार्थ्यांना उद्योगासाठी तयार करणे.

M4: To promote ethical values, soft skills and leadership skills in students for overall personality development.

सर्वांगीण व्यक्तिमत्व विकासासाठी विद्यार्थ्यांमध्ये नैतिक मूल्ये, सॉफ्ट स्किल्स आणि नेतृत्व कौशल्यांना प्रोत्साहन देणे.


  • Program outcomes (Pos)
    1. Basic and discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve the engineering problems.
    2. Problem analysis: Identify and analyze well-defined engineering problems using codified standard methods.
    3. Design/ development of solutions: Design solutions for well-defined technical problems and assist with the design of systems components or processes to meet specified needs.
    4. Engineering tools, experimentation and testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements.
    5. Engineering practices for society, sustainability and environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices.
    6. Project management: Use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well-defined
    engineering activities.
    7. Life-long learning: Ability to analyze individual needs and engage in updating in the context of technological changes.
  •  PEO’s:
    PEO – 1. The students will socially responsible to creates environment friendly AI solutions for real-time problems adapting professional ethics.
    PEO – 2. The students will practice AI framework and technologies in multidisciplinary work environments.
    PEO – 3. The student will be able to work individually and as a team by communicating effectively in their area of work.
  • PSO’s:
    PSO – 1. Students will able to solve real-life problem using latest and advanced technologies in artificial intelligence and machine learning field.
    PSO – 2. Apply knowledge of computer engineering and an understanding of management principles for applying them while managing artificial intelligence and Data
    science projects.


Name Of Course

Diploma in Artificial Intelligence and Machine Learning.

No.of Faculties


Total No.of Labs


Staff Profile:-



Name of Staff




          1 computer deshpande madam


Mrs.Deshpande A.A.




  BE Computer,ME(CSE)





Mrs. Waghmare S.V.





 Harsha Wani


Mrs.Wani S.G.




BE Computer




 kumhar madam


Mrs.Kumbhar D.H.




    BE Computer Science,M.Tech (Appear)


            3 Years

         5 Patil madam



Mrs.Patil S.M. 






    BE Computer



               2 Years


 Pooja PAtil


 Mrs.Patil P.M.


  Lab Assistant





Staff Group Photo:-


Supporting Staff:-


Photo Gallery