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Andhra Loyola Institute of Engineering & Technology

AICTE Approved • JNTUK Affiliated

Autonomous

EAMCET/ICET CODE: ALIT

CSE AI & ML at a Glance

CSE AI & ML at a Glance

Labs & Facilities

Labs & Facilities

Laptop Distribution

Laptop Distribution

Industrial Visit

Industrial Visit

CSE AI & ML

About CSE AI & ML

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.

CSE AI & ML at a Glance

Discover the numbers that reflect our commitment to excellence in education

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Student enrollment
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Annual Intake
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Faculty Members
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Established

Our Faculty

Meet our distinguished faculty members who bring expertise and excellence to every classroom.

Faculty Member
Qualification
Profile
Associate Professor
Ph.D
Associate Professor
M.Tech,(Ph.D)
Assistant Professor
MS
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Associate Professor
Ph.D
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech
Assistant Professor
M.Tech

Labs & Facilities

State-of-the-art laboratories equipped with modern technology to support hands-on learning and research

AI/ML Laboratory

AI/ML Laboratory

The Artificial Intelligence and Machine Learning Laboratory is a modern, well-equipped facility established to enhance practical learning and research in emerging technologies. The lab is furnished with 72 Lenovo V15 laptops, each powered by an Intel Core i5 12th Generation processor, 8 GB RAM, 512 GB SSD, and Windows 11 operating system. These high-performance systems provide an efficient environment for implementing AI and ML algorithms, data preprocessing, model training, and deployment. The laboratory is equipped with essential software tools such as Python, TensorFlow, Scikit-learn, Jupyter Notebook, and Anaconda, along with high-speed internet connectivity to support cloud-based AI applications and collaborative research.

📢 Department Updates

Nov 22
AR24 II B.TECH SEM-I EXAM TIMETABLE
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Nov 05
II B.TECH - I SEM (AR24) II MID EXAM TIMETABLE
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Nov 05
II B.Tech - I SEM EXAM FEE
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Nov 04
IV-I MID 2 Timetable
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Nov 01
Internship report submission
03-11-2025 is the last date for submitting Internship Reports. Submissions after this date will not be accepted.
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