BCA in Artificial Learning & Machine Learning (AL-ML) at Baba Farid Group of Institutions - Course, Fees, Admission, Seats, Syllabus

Sure, here's a simple HTML table representation for a BCA in Artificial Learning & Machine Learning (AL-ML) course semester-wise at Baba Farid Group of Institutions. Please note that this is a generic example and the actual course structure might differ.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Computer Fundamentals and Office Automation
Semester 2	Data Structures, Database Management Systems, Object-Oriented Programming, Discrete Mathematics, Environmental Studies
Semester 3	Operating Systems, Web Technologies, Advanced Data Structures, Probability and Statistics, Soft Skills
Semester 4	Computer Networks, Machine Learning Basics, Algorithm Analysis and Design, Professional Ethics, Minor Project
Semester 5	Deep Learning, Big Data Analytics, Cloud Computing, Elective 1 (e.g., Natural Language Processing), Industrial Training
Semester 6	Advanced Machine Learning, Elective 2 (e.g., Robotics), Major Project, Seminar, Elective 3 (e.g., Internet of Things)

This table is structured to provide a semester-wise breakdown of subjects that might be part of a BCA in AL-ML course. Each row after the header row represents a semester, with the first cell detailing the semester number and the second cell listing the subjects taught in that semester. Remember, the actual subjects and their order can vary based on the institution's curriculum updates and specific program requirements.