What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) program at the International Institute of Business Studies?
The BCA in Artificial Learning & Machine Learning (AL-ML) program at the International Institute of Business Studies is a 3-year undergraduate course.
How can I apply for the BCA in AL-ML program at the International Institute of Business Studies?
To apply for the BCA in AL-ML program, candidates need to visit the official website of the International Institute of Business Studies and fill out the application form. The admission process typically involves submitting the required documents and may include an entrance test or interview as part of the selection criteria.
What is the fee structure for the BCA in AL-ML program at the International Institute of Business Studies?
The fee structure for the BCA in AL-ML program at the International Institute of Business Studies can vary each year. Prospective students are advised to check the official website or contact the admissions office for the most current fee information.
What is the syllabus for the BCA in AL-ML program?
The syllabus for the BCA in AL-ML program covers a wide range of topics including Programming Languages, Data Structures, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Neural Networks, and Project Work. The curriculum is designed to provide a solid foundation in both theoretical concepts and practical applications in the field of artificial intelligence and machine learning.
What are the selection criteria for the BCA in AL-ML program at the International Institute of Business Studies?
The selection criteria for the BCA in AL-ML program at the International Institute of Business Studies typically include academic performance in 10+2 or equivalent examinations, performance in any entrance test conducted by the institute, and performance in personal interviews. The institute may also consider other factors such as extracurricular achievements and motivation for pursuing a career in artificial intelligence and machine learning.