The B.E. Computer Science and Engineering (Artificial Intelligence and Machine Learning) program established during the academic year 2024-25 with an intake of 60 is a specialized course that focuses on the fundamentals and advanced concepts of AI and ML, equipping students to build intelligent systems and data-driven solutions for real-world challenges.
Program Overview
This program is designed to provide in-depth knowledge in:
* Artificial Intelligence (AI)
* Machine Learning (ML)
* Deep Learning
* Natural Language Processing (NLP)
* Data Analytics
* Computer Vision
* Neural Networks
* Robotics and Intelligent Systems
It also covers foundational topics in Computer Science, such as:
* Programming (C, Python, Java)
* Data Structures and Algorithms
* Operating Systems
* Database Management
* Computer Networks
Key Features
* Curriculum aligned with industry trends and AI research developments
* Hands-on training through real-time projects, hackathons, and coding challenges
* Exposure to cloud platforms, data engineering, and AI model deployment
* Industry-driven certification courses and internships
* Focus on ethics, responsible AI, and societal applications
Career Opportunities
Graduates of the CSE (AI & ML) program are well-prepared for roles such as:
* AI Engineer
* Machine Learning Developer
* Data Scientist
* NLP Engineer
* Computer Vision Engineer
* Robotics Software Developer
* Research Analyst
* Software Developer in AI-powered applications
Higher Studies & Research
Students can pursue higher education and research in AI, ML, Data Science, Cognitive Computing, or Robotics from premier institutes in India and abroad.
| S.NO. | AU FACULTY ID | NAME | QUALIFICATION | DESIGNATION | D.O.J |
TOTAL EXPERIENCE |
| 1 | 292022 | Prof. MANCHU M | M.Tech., (Ph.D.) | ASSOCIATE PROFESSOR & HEAD | 13.04.2009 | 16 YEARS 2 MONTHS |
| 2 | 289232 | Prof. AGNES SHARMILY S | M.E., | AP | 14.06.2023 | 2 YEARS |
| 3 | 315983 | Prof. NISHA MALAR C | M.E., | AP | 02.06.2025 | 6 MONTHS |
| 4 | 312050 | Prof. NIVISHA SHARON | M.E., | AP | 23-01-2025 | 6 MONTHS |
The CSE (AIML) department is equipped with modern infrastructure and advanced technological resources to foster innovative learning, research, and development in the domain of Artificial Intelligence and Machine Learning. The following key facilities are provided:
1. AI & ML Laboratories
High-performance computing systems with latest NVIDIA GPUs
Pre-installed tools and platforms such as TensorFlow, Keras, PyTorch, OpenCV, and Scikit-learn
Python, R, and MATLAB environments for data science and ML development
Access to cloud platforms like Google Colab, AWS, and Microsoft Azure for AI model training and deployment
2. Data Science & Big Data Lab
Hadoop, Spark, MongoDB, and real-time analytics tools
Facilities for working on real-world datasets and capstone projects
3. Smart Classroom & Seminar Hall
Interactive smart boards and AV systems
High-speed internet and digital content delivery
Seminar hall for guest lectures, webinars, and workshops
4. Research & Innovation Center
Supports funded projects and student innovation
Collaboration with industry partners for R&D in AI, robotics, and automation
Access to AI simulation software and robotics kits
5. Library & Digital Resources
Access to IEEE, Springer, and ACM digital libraries
Department-specific books, journals, and online learning platforms like NPTEL, Coursera, and edX
6. Industry Collaboration & Internships
MoUs with companies and research labs for internships and live projects
Industrial training and certification programs (e.g., AWS AI/ML, Microsoft AI Fundamentals)
7. Innovation & Start-up Support
Incubation support for student startups in AI/ML
Guidance from mentors and alumni entrepreneurs