• Welcome to the Department of Artificial Intelligence and Machine Learning (AI&ML) the department offers four year B.E. Degree course in Artificial Intelligence and Machine Learning (CSE)
    The department aims to develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning for noteworthy contributions to the society.I feel proud to be leading the department having team of qualified, experienced, talented and dedicated faculty members and supportive staff. The department also provides the laboratories to the students so that they can carry out real world multidisciplinary projects and perform research work in effective way.Department provides Social-awareness & environmental-wisdom along with ethical responsibility to lead a successful career and to sustain passion and zeal for real-world applications using optimal resources to the students.The department strongly believes that our students will make us proud in the time ahead by emerging as an asset to the department, institute and society.HOD
    Prof. Priyanka Karhade
    Department of AI&ML (CSE)


To be a premier center of excellence with research in artificial intelligence through unique interdisciplinary partnerships and positive contribution to the community, organizations and society as a whole.


  • To impart knowledge in cutting edge Artificial Intelligence technologies in par with industrial standards.
  • To collaborate with industry to uplift innovative research and development in Artificial Intelligence and Machine Learning and its allied fields to serve the needs of society.
  • To produce successful Computer Science and Engineering graduates with a specialization in AI/ML with personal and professional responsibilities and commitment to lifelong learning.
  • Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) is an undergraduate program with advanced learning solutions imparting knowledge of advanced innovations like machine learning, and artificial intelligence.
  • Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) aims to bridge the urgent needs of the industry and to produce the high-end AI scientists and engineers for the society.
    The primary aim of this program is to produce graduates by providing a rigorous training in the priority areas of Artificial Intelligence and Machine Learning.
  • This program provides the core concepts of Computer Science and Engineering along with fundamentals of Artificial Intelligence and Machine learning. It enables students to provide solutions to scientific, technological and complex real world problems

This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning and Artificial Intelligence, Predictive Analytics, Robotic Process Automation, Genetic Algorithms, Fuzzy Logic and Systems, Natural Language Processing

Sr. No PO Code            Program Outcomes Statements
1 PO.1 Basic knowledge: Apply knowledge of basic mathematics, sciences and basic engineering to solve the broad-based AI & ML engineering problems.
2 PO.2 Discipline knowledge: Apply AI & ML engineering knowledge to solve broad-based AI & ML engineering related problems.
3 PO.3 Experiments and practice: Plan to perform experiments and practices to use the results to solve broad-based AI & ML engineering problems.
4 PO.4 Engineering tools: Apply relevant AI & ML technologies and tools with an understanding of the limitations.
5 PO.5 The engineer and society: Assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to practice in field of AI & ML engineering.
6 PO.6 Environment and sustainability: Apply AI & ML engineering solutions also for sustainable development practices in societal and environmental contexts.
7 PO.7 Ethics: Apply ethical principles for commitment to professional ethics, responsibilities and norms of the practice also in the field of AI & ML engineering.
8 PO.8 Individual and team work: Function effectively as a leader and team member in diverse/ multidisciplinary teams.
9 PO.9 Communication: Communicate effectively in oral and written form.
10    PO.10 Life-long learning: Engage in independent and life-long learning activities in the context of technological changes also in the AI & ML engineering and allied industry.
Sr. No PSO Code         Program Specific Outcomes Statements
1 PSO.1 Understanding: The student should able to clearly understand the concepts and applications in the field of AI & ML Engineering.
2 PSO.2 Associate Learning: The student should able to associate the learning from the courses related to surveying, design, analysis, Estimating to arrive at solutions to real world problems.
3 PSO.3 Analysis and Design: The student should have the capability to comprehenced the technological advancements in the usage of modern design tools to analyze and design systems/processes for variety of applications.
4 PSO.4 Skills and Practice: The students should posses the skills to communicate in oral and written forms, the work already done and the future plans with necessary road maps, demonstrating the practice of professional ethics and the concerns for social and Environmental well being.
Sr. No PEO Code    Program Educational Outcomes Statements
1 PEO.1 Provide socially responsible, environment friendly solutions to AI & ML engineering related broad-based problems adapting professional ethics.
2 PEO.2 Adapt state of the art AI & ML engineering broad-based technologies to work in multi-disciplinary work environments.
3 PEO.3 Solve broad-based problems individually and as a team member communicating effectively in the world of work.
  1. Provide students with essential tools for further study in engineering.
  2. Solve basic analytical problems using engineering tools, and be proficient and efficient in the use of these tools.
  3. Be able to identify necessary known and unknown information towards a solution and the process to be followed to arrive at a solution.
  4. Work effectively in small groups through well-developed problem solving skills and be able to organize the group to optimize performance and results.
  5. Understand the focus of each (selected) engineering major and then be able to make an informed choice on a direction of study.
  6. Begin building professional relationships with faculty members within the students department of interest.
  7. An ability to design and conduct experiments, as well as to analyze and interpret data
  8. An ability to function on multi-disciplinary teams
  9. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.