Artificial Intelligence and Machine Learning

Take a tour of AI/ML Department
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About the Department

B.Tech. in CSE(AI/ML) is a four-year course undergraduate program approved by AICTE and affiliated to JNTU, Kakinada during the academic year 2022-2023 with intake of 60 students. This course offers deep knowledge of Artificial Intelligence Techniques and Machine Learning, such as knowledge representation, logic, probabilistic models, and others, this course aims to establish the foundation for these fields. Students who want to pursue a career in CSE(AI&ML), ALIET will help them stand out from the competition.

Department Vision

To equip the students with adequate technical knowledge that promotes them to contribute their expertise in the arena of academics, industry and society. in the arena of academics, industries and society.

Department Mission

To produce the best quality computer science professionals through intellectual inputs. To impart quality training, hands on experience and value education to solve the real world problems. To provide an environment that values and encourages knowledge acquisition.

S.no Name of the Faculty Designation Qualification Blog
1. Dr.K. Siva Rama Krishna Assoc.Prof Ph.D.
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  • 2. Mr. Y. C. Ashok Kumar Assoc.Prof M.TECH, (Ph.D)
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  • 3. Mrs. M. Rojitha Priyadharshini Asst.Prof M.TECH.
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  • 4. Mr.M.Pavan Asst.Prof M.TECH, (Ph.D)
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  • 5. Mrs. P.Nikitha Asst.Prof MS.
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  • 6. Mrs. SK.Rubeena Asst.Prof M.TECH.
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  • 7. Mr. B.Rajashekar Reddy Asst.Prof M.TECH.
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  • 8. Ms. K.Reena Asst.Prof. M.TECH.
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  • 9. Mrs. V. Munni Asst.Prof. M.TECH.
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  • 10. Ms. M. Mounika Aradhana Asst.Prof. M.TECH.
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  • PO's

    • Engineering Knowledge
    • Problem Analysis
    • Design/Development of solutions
    • Conduct investigations of complex problems
    • Modern tool usage
    • The engineer and society
    • Environment and sustainability
    • Ethics
    • Individual and team work
    • Life-long learning

    PSO's

    PSO1: Able to develop code on multiple platforms meeting the needs of IT industry.

    PSO2: Able to analyze & apply the optimization techniques for the enhancement of application.

    PEO's

    PEO1: To make them apply their computer science knowledge and problem solving skills to be successful computer professionals in diverse career paths including supportive and leadership roles on multidisciplinary teams.

    PEO2: To make graduates change their ability to master the latest areas of computer science.

    PEO3: Ability to design and develop software applications to meet societal needs.

    Dr. K. Siva Rama Krishna

    HOD-AI/ML Department, ALIET

    The Department of AI/ML of Andhra Loyola Institute of Technology is known for its high-quality teaching, certifications, and placements. Department provides high-quality education along with training programs for students on emerging technologies in the various fields of the IT industry. Our students were placed in TCS, Infosys, Tech-Mahindra, Value-Labs, HCL, CTS, Syntel, etc. The Department offers B.Tech Computer Science and Engineering with an intake of 120 and is affiliated to JNTUK. All classrooms were well equipped with all ICT tools, labs with highend systems with full safety measures. With highly qualified teaching faculty in the Department, ensuring value-based quality education. Department committed to providing not only the technical education to our students but also the leadership qualities through which they can create employment for others. Department focuses on the holistic development of the students by a combination of both curricular and extracurricular activities.