Course Description

The Department of Computer Science and Engineering with specialization in Artificial Intelligence CSE (AI) at KIET Group of Institutions is a powerhouse of academic innovation and industry-aligned learning. With an annual intake of 240 students, the department is shaping the future of intelligent technologies by preparing students to lead in AI-driven industries.

Our curriculum focuses on high-demand technologies with Core Computing Concepts with focus on Artificial Intelligence, deep learning, computer vision, natural language processing, robotics, and AI ethics. Students gain hands-on experience with industry-standard platforms under the guidance of expert faculty, combining academic depth with practical execution.

At the core of the department is the Center of Excellence (COE) for Supercomputing, featuring the cutting-edge NVIDIA DGX A100 system. This powerful infrastructure supports advanced research and AI-driven development across domains like generative AI, high-performance computing, NLP, and intelligent automation. Through regular workshops, certifications, and faculty development programs, the COE fosters a vibrant research culture and continuous innovation.

The department boasts an impressive 90% placement record, with students receiving offers from top companies such as CISCO, JusPay, Service Now, WallMart, BNY, Accenture, Capgemini, RapiPay, Innovacer, Tech Mahindra, Cognizant, Junglee Games, Pocket FM, GPU.net, VRV Security, Infosys, Contentstack, InfoEdge.. The highest package offered has reached ₹60 LPA, and many others in the category of ₹9–30 LPA, reflecting the strong industry alignment of the program.

This is not just a program, it’s a platform to innovate, collaborate, and excel. From national hackathon victories to patents, research papers, and live GitHub-deployed projects, our students are making their mark well before graduation.

Why Choose CSE(AI) at KIET?
  • Future-proof curriculum covering AI, ML, DL, NLP, Computer Vision, Generative & Agentic AI, and AI ethics.
  • Specialized learning paths from 3rd semester: AI & Data Science, Cloud & Security, or Full Stack DevOps.
  • Industry-integrated program with live projects, internships, industrial visits, and collaborations with tech companies.
  • Hands-on training on top tools: TensorFlow, Keras, Anaconda, PyCharm, Azure ML, Python, Julia, and more.
  • Research-oriented faculty with strong backgrounds in AI/ML, guiding students through papers, patents, and projects.
  • Modern teaching pedagogy: blended & project-based learning, design thinking, GitHub deployment, and industry assessments.
  • Student innovations recognized in SIH 2024, Innotech 2024, and projects like AutoDom, Signify, and Netra Mitra.
  • Over 19+ final-year project teams delivering real-world AI solutions and research outputs.
  • Strong career prospects with roles in AI/ML, Data Science, Full Stack, Computer Vision, NLP, and more.
  • Graduates placed globally across top companies and domains like healthcare, fintech, robotics, defense, and sustainability.

Vision

    To emerge as a globally competent leader by fostering industry-linked, innovative learning and impactful research in Computational Intelligence.

    Mission

    • To develop students with strong foundation of computer science with focus on Artificial Intelligence and other emerging technologies through outcome-based teaching learning process.
    • To collaborate with industry for skill enhancement of teaching professionals and students emphasizing on project-based learning.
    • To prepare ethically strong students with powerful leadership skills.

    Program Outcomes

    • PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
    • PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
    • PO3: 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. (WK5)
    • PO4: 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. (WK8)
    • PO5: 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. (WK2 and WK6)
    • PO6: 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. (WK1, WK5, and WK7)
    • PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
    • PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
    • PO9: 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, make effective presentations considering cultural, language, and learning differences.
    • PO10: 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.
    • PO11: 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. (WK8)

    Syllabus

    To be updated soon!

    Publications & Research

        Class Room

        To be updated soon!

        Labs

          To be updated soon!

          Faculty and Staff

          S.NoNameDesignationQualificationSpecializationEmail
          1Dr. Rekha KashyapDean--rekha.kashyap@kiet.edu
          2Dr. Shelly GuptaAssociate Professor & Program Head--shelly.gupta@kiet.edu
          3Dr. Sapna JunejaProfessor--sapna.juneja@kiet.edu
          4Dr. Puneet GargAssociate Professor--puneet.garg@kiet.edu
          5Dr. Richa SinghAssistant Professor--richa.singh@kiet.edu
          6Mr. Abhishek KumarAssistant Professor--abhishek.kumar.ai@kiet.edu
          7Mr. Anurag GuptaAssistant Professor--anurag.gupta.ai@kiet.edu
          8Ms. Gargi SinghAssistant Professor--gargi.singh@kiet.edu
          9Mr. Gagan Kumar SinghAssistant Professor--gagan.singh@kiet.edu
          10Ms. Anjali ChauhanAssistant Professor--anjali.chauhan@kiet.edu
          11Ms. Ruchika Mavis DanielAssistant Professor--ruchika.daniel@kiet.edu
          12Ms. Aastha GuptaAssistant Professor--aastha.gupta@kiet.edu
          13Mr. Ajay SinghAssistant Professor--ajay.singh.ai@kiet.edu
          14Ms. Kumud AlokAssistant Professor--kumud.alok@kiet.edu
          15Mr. Mukesh LomrorAssistant Professor--mukesh.lomror@kiet.edu
          16Ms. Preeti VermaAssistant Professor--preeti.verma@kiet.edu
          17Dr. Gaurav SrivastavAssistant Professor--gaurav.srivastav@kiet.edu
          18Mr. Bikki KumarAssistant Professor--bikki.kumar@kiet.edu
          19Mr. Shivansh PrasadAssistant Professor--shivansh.prasad@kiet.edu
          20Ms. PriyankaAssistant Professor--priyanka.ai@kiet.edu
          21Ms. Ayushi MittalAssistant Professor--ayushi.mittal@kiet.edu
          22Mr. Rishabh SachanAssistant Professor--rishabh.sachan@kiet.edu
          23Ms. Surbhi VermaAssistant Professor--surbhi.verma@kiet.edu
          24Ms. Priya SinghAssistant Professor--priya.cseai@kiet.edu
          25Dr. Lalit KumarAssistant Professor--lalit.kumar.ai@kiet.edu
          26Mr. Pramod Kumar SethyAssistant Professor--pramod.sethy@kiet.edu

          Placement

            Testimonials

            During my first year at KIET Group of Institutions, Ghaziabad, I explored several domains, including machine learning and web development. I also dived into data structures and algorithms (DSA), but it didn’t spark much inter...Read More

            Testimonial
            Kanishk
            Batch (2021-25)

            My experience at KIET Group of Institutions has been truly transformative. The CSE (Artificial Intelligence) department provided exactly what I needed to launch my career – dedicated faculty who genuinely invested in our succ...Read More

            Testimonial
            Sampada Agarwal
            Batch (2021-25)

            I sincerely thank my HOD and my college for their constant support, guidance, and encouragement throughout my journey. The learning environment, mentorship, and placement training played a key role in this achievement. I am t...Read More

            Testimonial
            Shivanjali Kumari
            Batch (2021-25)

            Completing my B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence has been a journey of growth, innovation, and learning. Over four years, I built a strong foundation in core CS concept...Read More

            Testimonial
            Abhishek Verma
            Batch (2021-25)

            Center Of Excellence

            Center of Excellence (COE) for Supercomputing

            Center of Excellence (COE) for Supercomputing

            The Supercomputing COE at KIET empowers AI/ML research using NVIDIA DGX A100. It offers hands-on training, live projects, workshops, industry collaboration, and research support—enabling students to solve real-world challenges with next-gen tools and high-performance computing resources.

            Important reminderSEM Phase 1 registrations closing on April 15.
            Kick start your careerJoin ADP India’s Joint Campus Drive at KIET.
            Important reminderSEM Phase 1 registrations closing on April 15.
            Kick start your careerJoin ADP India’s Joint Campus Drive at KIET.

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