Vision
To equip students worldwide with the skills and knowledge to become leaders in artificial intelligence and machine learning, fostering innovation that addresses global challenges and societal needs.
Mission
To empower professionals worldwide by equipping them with advanced AI methodologies and tools, enabling them to address and solve global challenges effectively.
To establish dynamic partnerships with industry leaders, facilitating cutting-edge research and development in AI and ML that addresses real-world challenges.
To spearhead innovation in Artificial Intelligence and Machine Learning, developing transformative technologies that address global sustainability challenges and promote inclusive growth.
Cutting Edge Laboratories & Facilities
- AIML Lab
- Computer Network Lab
- Operating System Lab
Introduction of AIML Engineering
AI/ML engineering focuses on building intelligent systems that can process data, learn from it, and make predictions or decisions. Artificial Intelligence (AI) encompasses the broader goal of creating machines that can simulate human intelligence, while Machine Learning (ML) is a subset of AI that involves training algorithms to learn from and make predictions based on data. Deep learning, a further subset of ML, utilizes neural networks with multiple layers to model complex patterns in data.
Career
The demand for AI/ML engineers is growing across various industries, including healthcare, finance, automotive, and technology. Roles in this field often require strong programming skills, a solid understanding of algorithms and data structures, and knowledge of statistics and probability. Advanced positions may require expertise in specific domains, such as computer vision or NLP, and familiarity with deploying models in production environments.