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 undergraduates in 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.
B.Tech. Artificial Intelligence and Machine Learning programme emerging area is start, in our College, from the academic year 2021– 22 with a vision 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. AI and ML course aims to indulge knowledge in not only the core technologies such as artificial intelligence, data mining and data modelling and also make ready students expertise in thrust areas such as machine learning, and deep learning. Students with this course can gain thorough knowledge in: Intelligent Systems, Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, and Technologies for machine learning with cloud computing, big data analytics Reasoning, Internet of Things, Statistical Learning and visualization skills. The goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyse past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
This graduate program has a comprehensive coverage of applied and statistical methods used in Machine Learning and Artificial Intelligence while preparing the students to analyze, design and experiment solutions to problems. The curriculum targets technical and design skills, AI knowledge, and competencies needed to master strategic in machine learning applications, and data management, with the objective of creating innovative strategies to solve challenging real-world problems.
Career opportunities in Artificial Intelligence and Machine Learning are Data Scientist, Machine Learning Engineer, Research Scientist, Business Intelligence Developer, Product Manager, and Robotics Scientist.
The faculty members are highly motivated and devoted in delivering the highest quality professional education to students, and strive to excel in their research areas.
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.
|S.No.||Programme Educational Objectives|
|PEO1||To Formulate, analyze and solve Engineering problems with strong foundation in Mathematical, Scientific, Engineering fundamentals and modern computing practices through advanced curriculum.|
|PEO2||Analyze the requirements, realize the technical specification and design the Engineering solutions by applying artificial intelligence and data science theory and principles.|
|PEO3||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.|
|PEO4||Equip the graduates with strong knowledge, competence and soft skills that allows them to contribute ethically to the needs of society and accomplish sustainable progress in the emerging computing technologies through life-long learning.|
A graduate of Computer Science & Engineering will have ability to:
|S.No.||Programme Specific Outcomes|
|PSO1||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.|
|PSO2||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.|
|PSO3||Solutions to complex problems, using latest hardware and software tools, along with analytical skills to arrive at cost effective and appropriate solutions.|