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

As of my recent update in April 2023 I currently do not have real time access to specific course details from Inmantec Institutions or any other educational institutions. Nonetheless I can offer you an outline on how you could organize a table containing information related to the BCA in Artificial Learning & Machine Learning (AL ML) program that you are interested in. For the most precise information it is advisable to visit the official Inmantec Institutions website or reach out to them directly. | *** | **Description** | | | | | Program Duration | Typically spans 3 years for BCA programs | | Academic Level | Undergraduate | | Fees Structure | Varied (Kindly refer to the institutions website or contact them directly for specifics) | | Study Mode | Full time/Part time (Based on the institutions offerings) | | Institution Category | Private/Technical (Dependent on how the institution is classified) | It is important to note that particulars like tuition fees and study mode can differ significantly based on factors such as institutional policies, location, among others. It is always practice to consult the authoritative source, for precise details.

As of my last update in April 2023, I don't have access to real-time databases or specific course syllabi for educational institutions, including Inmantec Institutions. However, I can provide you with a general outline of what a BCA in Artificial Learning & Machine Learning (AL-ML) syllabus might include. For the most accurate and up-to-date syllabus, please visit Inmantec Institutions' official website or contact them directly. Below is a hypothetical example of what the syllabus might look like, formatted in a single line of HTML as requested:

Year	Semester	Subjects
1	1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence
1	2	Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning
2	1	Object-Oriented Programming, Linear Algebra for Machine Learning, Deep Learning Fundamentals
2	2	Software Engineering, Statistical Methods for Machine Learning, Natural Language Processing
3	1	Computer Networks, Reinforcement Learning, Elective (AI/ML Specialization)
3	2	Cloud Computing for AI, Ethics in AI, Major Project

This table is a simplified representation and includes generic subjects that might be part of a BCA in AL-ML program. Educational institutions often update their curricula to keep up with advancements in the field, so the actual subjects and their distribution across semesters may vary.

As of my last update in April 2023, specific syllabus details for Inmantec Institutions' BCA in Artificial Learning & Machine Learning (AL-ML) specialization may vary based on the institution's curriculum updates. However, I can provide you with a general outline of important topics that are typically covered in such programs. For the most accurate and up-to-date information, please refer directly to Inmantec Institutions' official resources. Below is a simplified single-line HTML format table that includes general topics you might expect in a BCA AL-ML specialization:

Core Topics	Programming Languages	Mathematical Foundations	Machine Learning Techniques	Applications
Introduction to Artificial Intelligence	Python	Linear Algebra	Supervised Learning	Natural Language Processing
Machine Learning Fundamentals	R	Statistics	Unsupervised Learning	Computer Vision
Deep Learning	Java	Calculus	Deep Neural Networks	Speech Recognition
Data Structures and Algorithms	SQL	Probability	Reinforcement Learning	Robotics
Data Preprocessing	JavaScript	Discrete Mathematics	Decision Trees	Healthcare Applications

This table is a broad representation and includes core topics like Introduction to AI, Machine Learning Fundamentals, and Deep Learning; programming languages such as Python, R, and Java; mathematical foundations including Linear Algebra, Statistics, and Calculus; machine learning techniques like Supervised and Unsupervised Learning, Deep Neural Networks, and Reinforcement Learning; and applications in fields like Natural Language Processing, Computer Vision, Speech Recognition, Robotics, and Healthcare. Remember, the specific curriculum and emphasis can vary, so it's important to consult the latest syllabus from Inmantec Institutions for the most accurate and detailed information regarding the BCA in AL-ML specialization.