BCA in Artificial Learning & Machine Learning (AL-ML) at Sri Sai University - Course, Fees, Admission, Seats, Syllabus

As of my last update in April 2023, I don't have access to real-time databases or specific university curricula, including that of Sri Sai University. However, I can provide you with a generic example of what a semester-wise syllabus for a BCA in Artificial Learning & Machine Learning (AL-ML) might look like. Please note that the actual syllabus may vary, and you should consult the university's official resources for the most accurate and up-to-date information. Here's a simplified, single-line HTML table representation of a generic syllabus:

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
Semester 2	Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning, Environmental Studies
Semester 3	Object-Oriented Programming, Operating Systems, Statistics for Machine Learning, Web Technologies
Semester 4	Software Engineering, Computer Networks, Deep Learning Fundamentals, Elective I (e.g., Natural Language Processing)
Semester 5	Machine Learning Models, Big Data Analytics, Elective II (e.g., Robotics), Project Work I
Semester 6	Advanced Machine Learning, Cloud Computing for AI, Elective III (e.g., Computer Vision), Project Work II

This table is a simplified representation and includes core subjects that might be part of a BCA in AL-ML program. The electives and specific course titles could vary significantly between institutions. Always refer to the university's official curriculum for the most accurate information.

Based on the information I gathered in my update in April 2023 obtaining specific course outlines for the BCA program in Artificial Learning & Machine Learning (AL ML) at Sri Sai University may require consulting their official resources or curriculum guides. Nevertheless I can give you an overview of the essential topics typically covered in a BCA program that focuses on Artificial Intelligence (AI) and Machine Learning (ML). These topics serve as the foundation, for understanding this field. Are likely to be included in such a program; The course covers topics including Speech Recognition, Image Processing and Analysis. It also includes learning tools and technologies like Python Programming for AI & ML TensorFlow and Keras, PyTorch, Scikit learn well as Pandas, NumPy and Matplotlib for data manipulation and visualization. Ethics and Future Implications of AI are discussed in the curriculum along with AI Governance and Policy. The course also explores the trends in AI and ML. Apart from knowledge the program offers hands on experience through industry relevant projects and internships to gain practical skills. Please note that the specific curriculum may vary based on the universitys focus advancements, in the field and integration of technologies. For information it is advisable to refer to Sri Sai Universitys official curriculum or contact their admissions office directly.