Code. Learn. Evolve.
Transforming ideas into AI-driven solutions through research, hands-on labs, and industry-ready learning paths.
Learn with intelligence. Build with purpose.
Our AIML department combines strong academic foundations, applied lab work, and industry-facing learning experiences so students can build intelligent systems with clarity, responsibility, and real-world impact.
About the Department
The AIML department builds intelligent systems that can learn, analyze, and support decisions. Students develop strong foundations in data science, machine learning, deep learning, and practical AI applications.
Core Technologies & Skills
Students gain hands-on experience in Python, machine learning, deep learning, NLP, computer vision, and data analytics. Projects and labs help turn core concepts into practical, industry-ready skills.
Career & Opportunities
The department prepares students for roles such as AI Engineer, Data Scientist, ML Engineer, and Research Analyst. Internships, placement support, and research exposure strengthen both career and higher-study pathways.
Building intelligent systems with academic rigor and practical relevance.
From core machine learning concepts to applied development, the department encourages students to move from understanding to implementation through guided projects, research culture, and collaborative learning.
Applied AI & ML
Hands-on training in Python, TensorFlow, and PyTorch across structured lab sessions and capstone projects.
Research & Innovation
Students engage in faculty-led research on NLP, Computer Vision, and Generative AI with publication opportunities.
Industry Connect
Active tie-ups with tech companies for internships, live projects, guest lectures, and placement drives.
Student Development
Competitions, hackathons, workshops, and mentorship programs designed to sharpen problem-solving and communication skills.
Voices shaping the department vision.
Guidance from the department leadership reflects the academic direction, institutional values, and future-facing goals of AIML.
Sri Jakkula Narsimha Reddy is the founder and chairman of NRCM Engineering College. He is a visionary leader who is committed to promoting quality education and academic excellence. His dedication and hard work helped in establishing the institution to provide technical education to students.
Dr. R. Lokanadham is the Principal of Narsimha Reddy Engineering College. He is a dedicated academician with vast experience in engineering education and research. He is committed to improving academic standards and student development. Under his leadership, the college focuses on quality education, innovation, and discipline. His guidance motivates students to achieve technical knowledge and professional success.
Mr. Mohan Babu is the Director of Narsimha Reddy Engineering College. He plays an important role in the administration and development of the institution. His leadership helps the college maintain high standards in education and discipline. He supports activities that encourage student growth, innovation, and technical learning. His dedication contributes to the overall progress and success of the college.
Mr. Gade Venkata Vara Prasad is the Head of the Department (HOD) of Artificial Intelligence and Machine Learning (AIML) at NRCM Engineering College. He is a dedicated faculty member with strong knowledge in Artificial Intelligence, Machine Learning, and modern technologies. He works actively to guide students in academic learning, research, and practical skills. Under his leadership, the AIML department encourages innovation, technical development, and project-based learning. His support and guidance help students build strong technical and professional abilities.