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Moolji Jaitha College BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Moolji Jaitha College - Course, Fees, Admission, Seats, Syllabus

location Jalgaon ( Maharashtra )
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BCA in Artificial Learning & Machine Learning (AL-ML) at Moolji Jaitha College - Course, Fees, Admission, Seats, Syllabus
location
Jalgaon ( Maharashtra )
Last Updated on February 20, 2024 5:17 PM
Moolji Jaitha College, an institution provides an advanced Bachelor of Computer Applications (BCA) program in Artificial Learning & Machine Learning (AL ML). This program is designed to equip students with the knowledge to excel in the ever changing technology industry. It covers a range of topics such as data structures, algorithms, machine learning principles, deep learning and artificial intelligence applications. The curriculum combines understanding with practical experience to ensure that students are well prepared for industry demands upon graduation. The BCA program in AL ML at Moolji Jaitha College is priced competitively making it accessible to students who have a passion for pursuing a career in technology. Apart from skills the program also focuses on developing soft skills and fostering professional growth to prepare students for the dynamic job market. Graduates of this program have career opportunities available to them including roles in data analysis, machine learning engineering, AI research and software development. Moolji Jaitha College boasts a placement cell that actively connects students with top tier companies in the tech industry. This provides opportunities, for internships and full time employment. Graduates who complete this program can anticipate entering the job market equipped with a set of skills prepared to take on challenges and drive innovation in the exciting realm of artificial intelligence and machine learning.
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Table of Contents

Moolji Jaitha College BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse FeeMode of StudyInstitute Type
3 YearsUndergraduateVariesFull-timeCollege

Moolji Jaitha College BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Creating a detailed semester-wise syllabus for Moolji Jaitha College's BCA in Artificial Learning & Machine Learning (AL-ML) course in a single line of HTML without access to the specific course details would be challenging. However, I can provide you with a generic template that you can customize based on the actual syllabus. Please note, for a detailed and accurate syllabus, it's best to consult the college's official resources or website.
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence
Semester 2Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning
Semester 3Advanced Programming, Linear Algebra and Statistics for Machine Learning, Deep Learning Fundamentals
Semester 4Machine Learning Models, Natural Language Processing, Computer Vision
Semester 5Advanced Machine Learning, Project Work (Part 1), Elective 1
Semester 6Industry Internship/Project Work (Part 2), Elective 2, Elective 3
This HTML snippet creates a simple table with two columns: one for the semester and one for the subjects taught in that semester. You'll need to replace the placeholder subjects with the actual subjects from the syllabus of the BCA in Artificial Learning & Machine Learning (AL-ML) course at Moolji Jaitha College. Remember, this is a simplified example and might not cover all aspects of the syllabus or the formatting nuances of HTML tables.

Moolji Jaitha College BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics in AL-ML
Semester 1Introduction to Programming, Basics of Artificial Intelligence, Linear Algebra for Machine Learning
Semester 2Statistics for Machine Learning, Python for Data Science, Introduction to Machine Learning
Semester 3Data Structures and Algorithms, Database Management Systems, Deep Learning Fundamentals
Semester 4Advanced Machine Learning, Natural Language Processing, Computer Vision
Semester 5Reinforcement Learning, Big Data Analytics, AI Ethics and Law
Semester 6Capstone Project in AL-ML, Industry Internship, Advanced Topics in AI and ML

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