Department of

Computer Science & Engineering (Artificial Intelligence)

The study of artificial intelligence (AI) involves developing computer systems that can perform tasks that typically require human intelligence, such as recognizing speech, making decisions, and learning from data.

AI is a multidisciplinary field that encompasses computer science, mathematics, cognitive science, philosophy, and psychology.

AI engineers work to create machines that can think, reason, and act autonomously, with the ultimate goal of creating machines that are as intelligent as humans.
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Reasons To Be A Artificial Intelligence Engineer

1

Future Job Prospects

As AI technology continues to evolve and become more sophisticated, there will be a growing demand for professionals with expertise in AI.

2

Interdisciplinary Learning

AI is a multidisciplinary field that involves computer science, mathematics, psychology, philosophy, and more. Studying AI will expose engineers to a variety of different fields, allowing them to develop a broad range of skills and knowledge.

3

Real World Impact

AI has the potential to revolutionize a variety of industries, from healthcare to finance to transportation. By studying AI, engineers will be equipped with the skills and knowledge to develop AI solutions that can have a real-world impact and help solve some of the world's most pressing problems.

Career Opportunities

Research Scientist

Work on cutting-edge research projects to improve machine learning and deep learning algorithms, natural language processing, and computer vision.

Machine Learning Engineer

Work closely with data scientists and software engineers to implement machine learning solutions in real-world applications.

AI Product Manager

AI product managers are responsible for driving the development of AI products and services. They work with cross-functional teams to define product requirements, develop product roadmaps, and launch new AI products.
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