The Department of CSE (AI) and CSE (AI&ML) was established in the year 2020 to offer an undergraduate programme B.Tech under the affiliation of Dr. A. P. J. Abdul Kalam Technical University, Lucknow.

MIET flourishes to give a successful specialized instruction by means of experiential learning and create a concrete framework with proficient workforce and energetic understudy community for accomplishing higher target level in Higher instruction in India. It believes in executing outcome based education (OBE). On deep rooted learning, we conduct different specialized events like hackathons, coding competitions, preparing programs, workshops and classes. We endeavor to deliver our best in terms of information spread and bring out the best from our students.

Our activities will certainly shape the students in such a way that they confront the outside world with confidence and provoke specialized, interpersonal and problem-solving aptitudes. In order to get ready Industry prepared professionals with all encompassing identity, we tie up with different firms and routinely organize different exercises like industry visits, specialized talks, and real-time ventures to sharpen the students’ specialized and delicate aptitudes.


B. Tech. – CSE (AI) with sanctioned intake of 120.

B. Tech. – CSE (AI/MI) with sanctioned intake of 120.



Courses Outcome


To become a renowned department where talented and globally competitive artificial intelligence and machine learning professionals are nurtured with value and industry oriented skills to serve the nation and society.


  • To impart knowledge in cutting edge Artificial Intelligence technologies at par with industrial standards with career-oriented learning programs.
  • To equip students with interdisciplinary skill sets to build intelligent systems which in turn provide dynamic and promising careers in the global marketplace.
  • Inculcate values of professional ethics, social concerns and life-long learning

HODs Message

Our B.Tech. programme is developed to provide students the abilities and know-how required to work successfully in the AI, and machine learning industries. We provide a challenging curriculum that covers the foundations of these subjects in addition to more advanced material like deep learning, natural language processing, computer vision, and data analytics.

Our faculty is a group of skilled professionals with experience and expertise who provide the students chances for high-quality education and research. To make sure that our students are exposed to the most recent advancements and cutting-edge technology in the industry, various industry oriented programs (IOPs) are offered to them.

To provide our undergraduates a well-rounded education, we also offer a variety of co-curricular activities and projects in addition to our academic programmes.

Dr. Rambir Singh

Dr. Rambir Singh

Professor & HoD



  • Ability to contribute to problem identification, analysis, design, and development of systems using principles and concepts of Artificial Intelligence and Machine Learning.
  • Ability to apply the concepts, principles and practices of Artificial Intelligence and Machine Learning and critically evaluate the results with proper arguments, selection of tools and techniques when subjected to loosely defined real world scenarios.
  • Ability to apply Artificial Intelligence and Machine Learning models on data for enabling better decision making.

Program Outcome

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.