Department of AIML

Department of AI & ML

About the Department

The AIML (Artificial Intelligence and Machine Learning) Department is a dynamic and rapidly growing academic unit. The department is known for fostering strong technical, analytical, and practical skills, supported by well-qualified faculty members with excellent technical knowledge and rich industry expertise. It emphasizes quality education, innovation, collaborative learning, and experiential learning, providing a solid foundation in AI and ML concepts. With an industry-aligned curriculum, practical exposure, research-oriented learning, and effective mentorship, the department creates a supportive environment that prepares students to meet modern academic and industry challenges while developing both professional competence and personal growth.

Key Highlights :

  • NEP 2020–aligned, industry-focused curriculum covering AI, ML, Deep Learning, Data Science, NLP, and Computer Vision.
  • Experiential learning emphasis through well-structured labs, mini-projects, capstone projects, and real-world problem solving.
  • State-of-the-art computing facilities with high-performance systems, GPU support, and modern AI frameworks.
  • Highly qualified faculty with strong research background, publications, certifications, and industry experience in AI/ML.
  • Strong industry and research collaborations enabling internships, training programs, and expert guest lectures.
  • Continuous student skill development by workshops, hackathons, coding competitions, seminars, and certification programs.
  • Comprehensive career preparation supporting placements, higher studies, competitive exams, research, and entrepreneurship.

Vision

To develop competent AI & ML professionals through innovative, creativity, experiential learning, emerging as a centre of excellence that address regional, national, and global challenges for industry and society.

Mission

  • To cultivate a dynamic and inclusive learning environment that inspires creativity, innovation, and practical expertise in AI & ML.
  • To establish the Department as a centre of excellence in experiential learning, research-driven approach, and innovation in Artificial Intelligence.
  • To promote lifelong learning and ethical responsibility while addressing the evolving needs of industry and society.
  • To advance multidisciplinary research and education fostering global perspectives, employability, and ethical, value-driven thinking.

Faculty
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UG Students
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PG Students
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PhD Scholars
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Mr. Ravindra S. Kamble

Head of the Department
CSE (Artificial Intelligence & Machine Learning)

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Welcome to the Department of Artificial Intelligence and Machine Learning.

The Department of Artificial Intelligence and Machine Learning is dedicated to excellence in education, research, and innovation. Department aims to develop skilled, ethical, and industry-ready professionals through a strong academic foundation, experiential learning, and continuous engagement with emerging technologies. The department encourages creativity, critical thinking, and problem-solving skills to equip students to meet future challenges with confidence.

Students are actively motivated to undertake internships with leading organizations and engage in real-life, industry-oriented projects. The faculty of the department strive hard to achieve these goals. The department regularly organizes seminars, expert sessions, conferences, certification programs, and training sessions to ensure students develop students globally and remain competitive in the evolving technological landscape.

I warmly welcome you to join DYP-ATU and become part of a vibrant academic community that strives for excellence, innovation, and meaningful contributions in the field of Artificial Intelligence and Machine Learning.

Programs

B. Tech

B. Tech

M. Tech.

Programme Specific Outcomes (PSOs)

  • Able to design, develop, and deploy intelligent systems using machine learning and data-driven approaches to solve real-world problems in various domains.

  • Apply AI and ML tools and technologies to build efficient, ethical, interpretable, and secure solutions for emerging domains with responsible use of artificial intelligence.

  • Graduates will utilize strong foundations in mathematics, computing, artificial intelligence, and machine learning to design and implement effective solutions for real-world challenges.

  • Graduates will acquire robust technical knowledge, analytical skills, and practical experience in AI & ML to achieve successful career in industry, research, or innovation.

  • Graduates will communicate effectively, work collaboratively in teams, demonstrate ethical leadership, and pursue lifelong learning for continuous professional growth.

Achievements

  1. Ravindra S. Kamble and Mr. Rajwardhan S. Todkar attended one-week National Level online FDP on “Agentic AI for Smart Healthcare and Medical technologies” organized by KLE Technological University in collaboration with IEEE Student Branch from 1st to 5th September, 2025.
  2. Ravindra S. Kamble attended one-week National Level FDP on “Generative AI” organized by Brainovision Solutions India Pvt. Ltd in collaboration with AICTE and hosted by Army Institute of Technology from 4th to 8th August, 2025.

  1. Student Achievement:

    1. Mr, Shridhar Mane, Mr. Suhel Mulla of Second Year B. Tech AIML selected as Google Student Ambassador by Google in August, 2025.
    2. Mr, Shridhar Mane, Mr. Suhel Mulla, Ms. Samruddhi Jirage, Mr. Shreyash Khot Second Year AIML students participated and completed CodeRush Hackathon organized by YCCE, Nagpur on 22nd and 23rd August, 2025.

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Department of AI & ML
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