B.Tech inArtificialIntelligence
This course introduces the basic concepts and techniques of Artificial Intelligence, including machine learning, neural networks and intelligent systems. It helps students understand how AI is used to analyze data, make decisions and solve real-world problems
About the Program
The Artificial Intelligence (AI) program is designed to equip students with strong theoretical foundations and practical skills required to design and develop intelligent systems. The curriculum covers key areas such as machine learning, deep learning, data analytics, natural language processing, computer vision and intelligent decision-making, enabling students to address complex real-world problems.
The program emphasizes problem-solving, critical thinking and the ethical application of AI technologies. Learning is reinforced through state-of-the-art laboratories equipped with modern computing infrastructure, advanced software tools and access to industry-relevant platforms that promote hands-on learning, experimentation and research.
Students benefit from project-based learning, internships, technical workshops and seminars conducted by industry professionals and academicians, effectively bridging the gap between theory and practice.
The department’s vision is to develop skilled AI professionals who are innovative, socially responsible and capable of contributing to technological advancement and societal development. Its mission is to deliver quality education, promote research and innovation, strengthen industry collaboration and encourage lifelong learning.
Through a balanced curriculum and a supportive academic environment, the program prepares students for successful careers in AI-driven industries, higher education and research.
Vision
"To be recognized for excellent engineering, developing global leaders both in educational and research in the domain of computer science and wireless engineering."
Mission
- 01.To create self-learning environment by facilitating leadership qualities, team spirit and ethical responsibilities.
- 02.To improve department-industry collaboration, interaction with professional society through technical knowledge and internship program.
- 03.To promote research and development with current techniques through well qualified resources in the area of computer science and wireless engineering.
Key Laboratories
Database Lab
Project Lab
Programming Lab
Computer Center
Graphics Lab
Data Science Lab
Machine Learning & AI Lab
Big Data & Cloud Computing Lab
Full Stack Development Lab
Seat Status
Fee Structure
* Govt approved structure