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Artificial Intelligence And Machine Learning (60 seats)

Artificial Intelligence and Machine Learning, are two trending Technologies in the Present World.

Artificial intelligence (AI) and machine learning are often used interchangeably, but machine learning is a subset of the broader category of AI.

Put in context, artificial intelligence refers to the general ability of computers to emulate human thought and perform tasks in real-world environments, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience and data. 

Artificial Intelligence and machine Learning (AI&ML) is a new, emerging field which consists of a set of tools and techniques used to extract useful information from data. AI&ML is a fast growing discipline and is full of rigorous practical analysis. The demand for  AI and ML has industry required skills and demand in the Global market over the last few years. Artificial Intelligence and Machine Learning is also in line demand with computer science. Machine learning is an established research discipline. However, recent advances have increased the impact on many areas of society, science, medicine, and everyday life.AI with ML is in demand in the robotics applications, space technology, industry4.0 and many more.AI and ML delivers modern computational systems that demonstrate capabilities of perception, reasoning, learning and action that are typical of human intelligence.

Computer programmers and software developers enable computers to analyze data and solve problems — essentially, they create artificial intelligence systems — by applying tools such as:

Machine learning, Deep learning, Neural networks, Computer vision, Natural language processing.



Kripa Rakesh





The vision of the Department of Artificial Intelligence and Machine Learning is to impart quality education and produce high quality, creative and ethical engineers, in still professionalism, enhance students' problem solving skills in the domain of artificial intelligence and Machine Learning To emerge as a premier center for education and research in Artificial Intelligence and Machine Learning and in transforming students into innovative professionals of contemporary and future technologies to cater the global needs of human resources for IT and ITES companies.


To provide skill based education to master the students in problem solving and analytical skills to enhance their niche expertise in the field Artificial Intelligence and Machine Learning.

To explore opportunities for skill development in the application of Artificial Intelligence and Machine learning among rural and under privileged population.

Transform professionals into technically competent through innovation and socially responsible.

To promote research based projects and activities among the students in the emerging areas of Artificial Intelligence and Machine Learning.

To impart quality and value based education and contribute towards the innovation of computing system, data science to raise satisfaction level of all stakeholders.

Program Educational Objectives

To Formulate, analyze and solve Engineering problems with strong foundation in Mathematical, Scientific, Engineering fundamentals and modern computing practices through advanced curriculum.

Analyze the requirements, realize the technical specification and design the Engineering solutions by applying artificial intelligence and data science theory and principles.

Demonstrate technical skills, competency in AI and Machine Learning and promote collaborative learning and team work spirit through multi -disciplinary projects and diverse professional activities.

Programme Specific Outcomes

Understand, analyze and develop essential proficiency in the areas related to artificial Intelligence and Machine Learning in terms of underlying statistical and computational principles and apply the knowledge to solve practical problems.

Learn the basic concepts of Artificial Intelligence and Machine Learning and to apply them to various areas, like Image Processing, Speech Recognition, Product Recommendations, Medical Diagnosis etc.

Solutions to complex problems, using latest hardware and software tools, along with analytical skills to arrive at cost effective and appropriate solutions.

Kripa K M