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

Based on my update in April 2023 I don't have access to real time databases or specific course syllabi for institutions like the Koshys Group of Institutions. It's important to note that course syllabi can differ significantly between institutions and may undergo changes over time as universities adapt their curricula to keep up with advancements in the field. However I can provide you with an overview of what a Bachelor of Computer Applications (BCA) program specializing in Artificial Intelligence and Machine Learning (AI ML) might typically include. Please keep in mind that this outline is based on topics and subjects found in similar programs. For the accurate and up, to date syllabus I recommend referring to the official Koshys Group of Institutions website or reaching out directly to their academic department. Management Principles Lab for Data Structures Year 2 Semester 3; Operating Systems Web Technologies Computer Networks Advanced Database Management Systems Statistics and Probability for Artificial Intelligence and Machine Learning (AI ML) Lab for Web Technologies Semester 4; Software Engineering Algorithms Artificial Intelligence Python for Data Science Elective I (options could include Introduction to Robotics, Cloud Computing, etc.) AI Lab Year 3 Semester 5; Machine Learning Deep Learning Big Data Analytics Elective II (options could include Natural Language Processing, Computer Vision, etc.) Project Work (Part 1) Machine Learning Lab Semester 6; Reinforcement Learning AI in Business and Society Elective III (options could include IoT, Blockchain Technologies, etc.) Project Work (Part 2) Seminar on Emerging Technologies Internship/Industrial Training Electives; Electives provide students with the opportunity to specialize further within the AI and ML domain based on their interests. These may cover topics such, as; Natural Language Processing Computer Vision Robotics AI and ML enabled Cloud Computing blockchain technologies the Internet of Things(IoT). Note; This syllabus serves as a framework.