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

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Environmental Studies
Semester 2	Object-Oriented Programming, Data Structures, Digital Logic and Design, Principles of Management, Human Values and Ethics
Semester 3	Database Management Systems, Operating Systems, Computer Networks, Introduction to Machine Learning, Web Technologies
Semester 4	Advanced Database Management Systems, Software Engineering, Artificial Neural Networks, Machine Learning Techniques, Minor Project
Semester 5	Big Data Analytics, Deep Learning, Natural Language Processing, Elective I, Major Project I
Semester 6	Cloud Computing, Internet of Things, Elective II, Major Project II, Internship

Please note that the subjects listed for each semester are hypothetical and serve as an example. For accurate and detailed syllabus information, please refer to the official Shri Krishna University curriculum or their official website.

As of my update in April 2023 it may be challenging to find specific course details for Shri Krishna Universitys BCA program, in Artificial Learning & Machine Learning (AL ML). Universities often update their curriculums making it difficult to obtain the current information. However I can provide you with an overview of the key topics typically covered in a BCA program that focuses on Artificial Intelligence (AI) and Machine Learning (ML). These foundational topics commonly included are; The university offers a range of courses and specializations in the field of intelligence (AI) and machine learning (ML). Their curriculum covers aspects, including natural language processing, sentiment analysis, chatbots and computer vision. In the field of computer vision they focus on image recognition, object detection and their applications in areas like surveillance and automotive industries. In terms of data science and analytics the university emphasizes the importance of understanding data structures and algorithms for optimizing AI and ML models. They also teach data preprocessing and analysis techniques such as handling missing data, normalization and statistical analysis. Additionally they introduce students to data technologies like Hadoop and Spark to handle large datasets effectively. The applied machine learning section covers the lifecycle of AI projects—from problem definition to data collection, model selection, training, evaluation and deployment. They also emphasize the implications and legal considerations associated with deploying AI solutions. Furthermore students gain knowledge about emerging trends in AI and ML such as quantum computing applications in healthcare or autonomous vehicles. To provide experience in AI and ML implementation the university offers laboratories along with workshops where students can work on implementing algorithms hands on. As part of their journey at Shri Krishna Universitys program in AI/ML specialization or electives are available for those interested in robotics or game development with AI. Advanced topics like learning are also covered extensively. For students interested in applying intelligence techniques specifically to business or finance domains will find elective courses tailored for them. For detailed information about these programs or any specific requirements for admission, at Shri Krishna University please visit their official website or contact their admissions office directly.