BCA in Artificial Learning & Machine Learning (AL-ML) at Vidya Knowledge Park - Course, Fees, Admission, Seats, Syllabus

As of my last update in April 2023, I don't have specific details about Vidya Knowledge Park BCA in Artificial Learning & Machine Learning (AL-ML) course highlights such as tuition fees or course duration. However, I can provide you with a generic HTML table format that you can fill with the actual data once you have it.

Course Highlight	Details
Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	Rs. [Your Fees]
Mode of Study	Full Time
Institute Type	Private

Please replace [Your Fees] with the actual tuition fees for the course. This table includes placeholders for the course duration, level, tuition fees, mode of study, and institute type, which are common details potential students might be interested in. For the most accurate and up-to-date information, I recommend contacting Vidya Knowledge Park directly or visiting their official website.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence
Semester 2	Data Structures, Discrete Mathematics, Principles of Machine Learning
Semester 3	Algorithms, Linear Algebra, Deep Learning Fundamentals
Semester 4	Computer Networks, Probability and Statistics, Machine Learning Models
Semester 5	Natural Language Processing, Robotics and Perception, AI in Healthcare
Semester 6	Capstone Project, Ethics in AI, Advanced Machine Learning Techniques

Please replace the hypothetical course names and structure with the actual syllabus details from Vidya Knowledge Park for the BCA in AL-ML program. You can usually find such information on the institution's official website or by contacting the academic department directly.

### Vidya Knowledge Park BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics

Semester/Year	Important Topics
Year 1 - Semester 1	Introduction to Programming, Basics of Computer Systems, Mathematics for Computer Science
Year 1 - Semester 2	Data Structures and Algorithms, Database Management Systems, Linear Algebra for ML
Year 2 - Semester 1	Object-Oriented Programming, Operating Systems, Probability and Statistics for ML
Year 2 - Semester 2	Introduction to Artificial Intelligence, Machine Learning Fundamentals, Web Technologies
Year 3 - Semester 1	Deep Learning, Natural Language Processing, Computer Vision
Year 3 - Semester 2	Advanced Machine Learning Models, AI & ML Project, Ethics in AI