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

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

location Lucknow ( Uttar Pradesh )
location Estd In: 2004
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BCA in Artificial Learning & Machine Learning (AL-ML) at Integral University - Course, Fees, Admission, Seats, Syllabus
location
Lucknow ( Uttar Pradesh )
location
Estd In: 2004
Last Updated on February 06, 2024 8:53 PM
Integral University provides a Bachelor of Computer Applications (BCA) program that offers various specializations to meet the diverse interests and career aspirations of students. The BCA specializations at Integral University focus on learning and industry relevant skills providing students with a strong foundation in computer science and information technology. Integral University offers a total of five specializations within the BCA program allowing students to choose a path that aligns with their interests and career goals. These specializations include Software Engineering, Artificial Intelligence, Cyber Security, Data Science and Web Development. Each specialization is designed to equip students with the knowledge and skills to excel in their chosen field. By offering a range of specializations Integral University ensures that students receive a rounded education and are prepared to meet the evolving demands of the IT industry. The BCA program at Integral University is renowned for its excellence experienced faculty members and modern infrastructure. It is a choice for students aspiring to have successful careers, in the field of computer applications.
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Table of Contents

Integral University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 1,00,000 per yearFull-timePrivate

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

Important Topics in BCA AL-ML Course
Introduction to Artificial Intelligence and Machine Learning
Python Programming for AI & ML
Data Structures and Algorithms for Machine Learning
Mathematics for Machine Learning
Statistics and Probability for AI & ML
Deep Learning and Neural Networks
Natural Language Processing (NLP)
Computer Vision and Image Processing
Reinforcement Learning
AI & ML Project Management and Ethics

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