Department of AIML

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 and 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.

UG Students
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PG Students
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prof_yuvraj_patil
Prof. (Dr.) Yuvaraj M. Patil

DEAN

School of Engineering & Technology

Message from the Dean

Welcome to the School of Engineering & Technology It gives me immense pleasure to welcome you to the School of Engineering & Technology, where we are committed to nurturing future-ready engineers, innovators, entrepreneurs, and responsible professionals equipped to address the challenges of a rapidly evolving world. The School offers Undergraduate, Postgraduate, and Ph.D. programs in Computer Science Engineering (CSE) with Artificial Intelligence & Machine Learning, CSE with Data Science, Electronics & Telecommunication Engineering, Mechanical Engineering, Civil Engineering, Agricultural Engineering, and Food Technology. The Agricultural Engineering program provides specialized streams in Farm Machinery & Power Engineering, Processing & Food Engineering, Irrigati on & Drainage Engineering, Soil & Water Conservation Engineering, and Renewable Energy Engineering. We are also proud to offer 6-year Integrated Undergraduate Degree Programs, providing a seamless academic pathway with strong foundations, advanced technical expertise, and research orientation. Our commitment to academic excellence, industry-aligned education, research, and innovation is supported by state-of-the-art laboratories, experienced and dedicated faculty, and globally recognized certifications from IBM, Microsoft, Cisco, AWS, UiPath, and Unity, supported by NSDC. Through Outcome-Based Education, interdisciplinary and project-based learning, skill development, internships, Centres of Excellence, and strong industry-academia collaboration, students gain meaningful exposure to emerging areas such as Artificial Intelligence, Machine Learning, Data Science, loT, Cyber Security, Robotics, Automation, VLSI, Semiconductor Technology, Advanced Communication, Agriculture, Food, and Sustainable Technologies. We believe engineering education must extend beyond the classroom. Our focus is on combining fundamental knowledge with hands-on learning, research, innovation, real-world projects, and industry exposure. Guest lectures, internships, industrial visits, and collaborative initiatives help students develop practical skills and a holistic professional outlook. We encourage a strong culture of research, patents, publications, entrepreneurship, and start-ups, while creating opportunities for collaboration with industries, research organizations, and national and international academic institutions. Our dedicated faculty members foster a student-centric learning environment that promotes critical thinking, creativity, leadership, teamwork, ethical values, effective communication, social responsibility, and lifelong learning. We aim to develop engineers who possess not only technical competence but also the adaptability and professional values needed to contribute meaningfully to society. The University also provides well-furnished hostel facilities and reliable transport services for nearby regions, ensuring student comfort, safety, and well-being. Set within a green and vibrant campus, the School provides an environment that encourages creativity, collaboration, leadership, and innovation. I encourage every student to Dream Big, Learn Continuously, Innovate Fearlessly, and Serve Society Responsibly. Make the best use of the opportunities available to you, participate actively in academic and extracurricular activities, undertake meaningful projects, develop industry-relevant skills, and continuously upgrade yourself. Together, let us build a vibrant School of Engineering & Technology that contributes to academic excellence, technological innovation, entrepreneurship, and nation building. I wish all our students, faculty members, staff, alumni, and stakeholders a successful, enriching, and fulfilling journey towards excellence.

Mr. Ravindra S. Kamble

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

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-UT 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 (AIML)

Diploma + Degree

B. Tech CSE (AIML)

M. Tech. (AIML)

Programme Outcomes (POs)
  • Engineering Knowledge

    Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialization to develop solutions to the complex engineering problems.

  • Problem Analysis

    Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions with consideration for sustainable development.

  • Design/Development of Solutions

    Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society, and environment as required.

  • Conduct Investigations of Complex Problems

    Conduct investigations of complex engineering problems using research-based knowledge, including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

  • Engineering Tool Usage

    Create, select, and apply appropriate techniques, resources, and modern engineering & IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems

  • The Engineer and The World

    Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture, and environment.

  • Ethics

    Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national & international laws.

  • Individual and Collaborative Team work

    Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

  • Communication

    Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, and make effective presentations considering cultural, language, and learning differences.

  • Project Management and Finance

    Apply knowledge and understanding of engineering management principles and economic decision-making, and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

  • Life-Long Learning

    Recognize the need for, and have the preparation and ability for i) independent and life-long learning, ii) adaptability to new and emerging technologies, and iii) critical thinking in the broadest context of technological change.

  • 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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