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We feel elated to Well-Come and introduce you to our Department of Artificial Intelligence & Machine Learning.ArtificialIntelligence (AI) is now one of the fastest-growing technologies in the job market. Our AIML program aims to provide students with a solid foundation in the principles and techniques of AIML, as well as hands-on experience in applying these technologies to real-world problems. The curriculum of the AIML program is designed with specialized knowledge and skills in Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement learning, Natural Language Processing (NLP), Data Science, Computer Vision, Business Intelligence, Robotics and other interdisciplinary areas. The students will study algorithms and techniques for machine learning and gain practical experience through laboratory work and projects.The department is equipped itself with well qualified teaching faculty with rich teaching, research and industrial experience. The department committed to impart rigorous training to students to generate knowledge through the state-of-the-art concepts and technologies in AI & ML, and transform the Department as a leader in imparting AI & ML education and research. The department offers Bachelor of Technology in AIML and Master of Technology in AIDS.

“WISH YOU ALL THE BEST”

Dr. Mahesh Gaikwad
Head of Department

Vision

To be a leading department in AI and ML through fostering academic excellence, innovative research, and entrepreneurial skills to create globally recognized professionals.

Mission

  • To provide a robust curriculum and hands-on learning in AI and ML that enhances academic excellence
  • To provide mentorship and resources that support student-led research, startups, and innovative projects , fostering a culture of entrepreneurship.
  • To collaborate with industry partners and research institutions, offering students exposure to cutting-edge technologies in AI and ML.
  • To encourage students for lifelong learning and adaptability in AI and MLworld.

PEO, PO and PSO

Program Educational Objectives (PEOs)
Program Outcomes (POs)
Program Specific Outcomes (PSO)

Program Educational Objectives (PEOs)

  • To prepare students for placement ,higher education, research and development (R&D) in AI and ML by providing value-based quality education.
  • To develop students to work on multidisciplinary projects with teamwork, effective communications skills and ethical principles.
  • To cultivate students to provide acceptable solutions to real world problems utilizing problem-solving skills, knowledge of mathematics and engineering fundamentals.
  • To expose students to emerging AI and ML technologies and provide ample opportunities to work on interdisciplinary projects, enhancing teamwork, leadership, and effective communication skills.

Program Outcome (POs)

  • Engineering knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and specialized AI and ML principles to solve complex engineering problems.
  • Problem analysis : Identify, formulate, and analyze complex engineering problems using data-driven methods, AI/ML algorithms, and first principles of mathematics, natural sciences, and engineering sciences.
  • Design/development of solutions : Design innovative solutions for complex engineering problems and develop system components or processes that meet specified needs, considering public health and safety, as well as cultural, societal, and environmental factors.
  • Conduct investigations of complex problems : Utilize research-based knowledge and methodologies, including experimental design, data analysis, and information synthesis, to provide valid conclusions.
  • Modern tool usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including AI/ML modeling and prediction, to complex engineering activities, understanding their limitations.
  • The engineer and society : Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues, understanding the responsibilities relevant to professional engineering practice.
  • Environment and sustainability : Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrating knowledge of, and commitment to, sustainable development.
  • Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
  • Individual and team work : Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
  • Communication : Communicate effectively on complex engineering activities with the engineering community and society at large, including comprehending and writing effective reports and design documentation, making effective presentations, and giving and receiving clear instructions.
  • Project management and finance : Demonstrate knowledge and understanding of engineering and management principles and apply these to one's work, as a member and leader in a team, to manage projects in multidisciplinary environments.
  • Life-long learning : Adapt to rapid advancements in AI/ML technologies, tools, and ethical standards through continuous learning and skill development

Program Specific Outcomes(PSOs)

  • PSO 1 : Develop and deploy AI/ML solutions using industry-standard tools, frameworks, and technologies.
  • PSO 2 : Apply AI/ML concepts with core computing domains to solve real-world and futuristic challenges.
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