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

As of my update in April 2023 I currently do not have real time access to databases or specific course syllabi for institutions like the Sai Group of Institutions. Nonetheless I can offer you an overview of what a BCA (Bachelor of Computer Applications) program specializing in Artificial Learning (AL) and Machine Learning (ML) might typically cover. This summary is based on the subjects and topics found in similar programs offered by various institutions. It's important to note that for the precise and current syllabus details it is advisable to reach out directly to the Sai Group of Institutions or visit their official website. Year 1; Building a Foundation in Computer Applications and Basic Mathematics Semester 1 Getting started with Programming (using C or Python) Understanding Digital Fundamentals and Logic Design Mathematics tailored for Computer Science Communication Skills through English Exploring Environmental Studies Semester 2 Delving into Data Structures Learning about Database Management Systems Mastering Object Oriented Programming (using Java or C++) Studying Discrete Mathematics Introduction to Principles of Management Year 2; Embracing Core Computer Science along with AL & ML Introduction Semester 3 Navigating Operating Systems Exploring Computer Networks Immersing oneself into Web Technologies Introduction to Artificial Intelligence Grasping Linear Algebra and Statistics, for ML Semester 4 Analyzing Algorithms Design Understanding Software Engineering Working with Python within Data Science Establishing Machine Learning Fundamentals Undertaking a Minor Project relating to ML/AI In the year of study students will delve into Advanced Artificial Intelligence (AI) and Machine Learning (ML) topics along with specialized courses. **Semester 5** Delve into Deep Learning Explore Natural Language Processing Engage in Big Data Analytics Choose a course such as Robotics or Internet of Things Gain hands on experience through Industrial Training/Internship **Semester 6** Dive into Advanced Machine Learning Models Study Computer Vision applications Select another Elective course like Blockchain Technology or Cyber Security Focus on a Major Project related to AI/ML Present a Seminar on Emerging Technologies in AI/ML **Electives;** Students can further specialize in areas of interest within AI and ML domains by taking advanced courses like reinforcement learning generative adversarial networks (GANs) cloud computing or edge computing. ** Experience;** Hands on practical work, including labs, projects and internships is an integral part of the curriculum to gain real world experience in AI and ML applications. **Please note;** This syllabus serves as a guideline and provides a framework, for the academic program.