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Galgotias University BCA in Artificial Learning & Machine Learning (AL-ML)

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

location Greater Noida ( Uttar Pradesh )
location Estd In: 2011
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BCA in Artificial Learning & Machine Learning (AL-ML) at Galgotias University - Course, Fees, Admission, Seats, Syllabus
location
Greater Noida ( Uttar Pradesh )
location
Estd In: 2011
Last Updated on February 06, 2024 9:29 PM
Galgotias University is well known for its academic standards and programs that are focused on preparing students for the industry. They offer a Bachelor of Computer Applications (BCA) degree with a range of specialization options. The university places importance on practical learning and the latest technology ensuring that students gain the necessary skills and knowledge to excel in the field of computer applications. The BCA program at Galgotias University provides six specializations to choose from allowing students to align their studies with their career aspirations and personal interests. These specializations include Software Engineering, Artificial Intelligence, Cyber Security, Data Science, Mobile Applications and Web Development. Each specialization is carefully designed to equip students with expertise in their chosen area making them well prepared to meet industry demands. By offering specializations within the BCA program Galgotias University ensures that students receive a comprehensive education that meets the evolving needs of the IT industry. With state of the art infrastructure experienced faculty members and collaborations with industry professionals Galgotias University provides a platform, for students seeking a BCA degree and aiming to gain a competitive edge in the constantly growing field of computer applications.
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Table of Contents

Galgotias University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Core TopicsAdvanced Topics
Introduction to ProgrammingDeep Learning
Data Structures and AlgorithmsNatural Language Processing
Mathematics for Machine LearningReinforcement Learning
Statistics and ProbabilityComputer Vision
Introduction to Machine LearningRobotics
Database Management SystemsBig Data Analytics
Software EngineeringCloud Computing for AI
This table includes a mix of core and advanced topics that are commonly part of a curriculum focusing on Artificial Learning and Machine Learning. Remember, the specific topics and their depth of coverage can vary by program and institution.

Galgotias University BCA Course FAQs

What is the BCA in Artificial Learning & Machine Learning (AL-ML) at Galgotias University?
The BCA in Artificial Learning & Machine Learning (AL-ML) at Galgotias University is an undergraduate program designed to provide students with a strong foundation in computer applications with a specialized focus on artificial intelligence and machine learning technologies.
What are the eligibility criteria for the BCA in AL-ML program at Galgotias University?
The eligibility criteria for the BCA in AL-ML program at Galgotias University require candidates to have passed 10+2 or equivalent examination with Mathematics/Computer Science/Information Practice as one of the subjects, from a recognized board.
How can I apply for the BCA in AL-ML program at Galgotias University?
To apply for the BCA in AL-ML program at Galgotias University, candidates need to fill out the application form available on the university's official website. They must follow the application process, which includes submitting the required documents and paying the application fee.
What is the duration of the BCA in AL-ML program at Galgotias University?
The BCA in Artificial Learning & Machine Learning (AL-ML) program at Galgotias University is a 3-year full-time undergraduate course.
What career opportunities are available after completing BCA in AL-ML from Galgotias University?
After completing the BCA in AL-ML from Galgotias University, graduates can pursue various career opportunities such as Machine Learning Engineer, Data Scientist, AI Research Scientist, AI Engineer, and roles in software development, data analysis, and more in the IT and technology sectors.

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