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Lucky Institute of Professional Studies BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Lucky Institute of Professional Studies - Course, Fees, Admission, Seats, Syllabus

location Jodhpur ( Rajasthan )
location Estd In: 2001
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BCA in Artificial Learning & Machine Learning (AL-ML) at Lucky Institute of Professional Studies - Course, Fees, Admission, Seats, Syllabus
location
Jodhpur ( Rajasthan )
location
Estd In: 2001
Last Updated on February 20, 2024 5:58 PM
The Bachelor of Computer Applications (BCA) program in Artificial Learning & Machine Learning (AL ML) offered by the esteemed Lucky Institute of Professional Studies is an educational opportunity aimed at equipping students with the necessary skills and knowledge to succeed in the ever evolving fields of artificial intelligence and machine learning. This specialized program focuses on providing an understanding of algorithms, data structures, machine learning principles and applications of artificial intelligence. To be eligible for enrollment in the BCA program specializing in Artificial Learning & Machine Learning (AL ML) at Lucky Institute of Professional Studies candidates must have successfully completed their 10+2 education with a percentage as specified by the institute. It is imperative for candidates to showcase a foundation in mathematics and analytical skills. The curriculum encompasses subjects such as neural networks, predictive analytics, natural language processing and robotics which effectively prepare students for diverse career opportunities within technology firms, research institutions and innovative startups. The admission process involves an evaluation of academic credentials followed by a personal interview to ensure that only exceptionally dedicated and capable students are granted admission. With its curriculum and practical approach to learning this program promises to provide individuals with exciting prospects, within the cutting edge technology sector.
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Lucky Institute of Professional Studies BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 YearsUndergraduateVaries (Contact Institute)Full TimePrivate

Lucky Institute of Professional Studies BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

As of my last update in April 2023, I don't have access to specific course syllabi, including the BCA in Artificial Learning & Machine Learning (AL-ML) from the Lucky Institute of Professional Studies. Course syllabi can vary significantly between institutions and can also be updated frequently. For the most accurate and up-to-date syllabus, I recommend contacting the Lucky Institute of Professional Studies directly or visiting their official website. However, I can provide you with a general idea of what such a program might include, structured in a simplified single-line HTML table format. Please note, this is a hypothetical example and not an actual syllabus from the Lucky Institute of Professional Studies.
YearSemesterSubjects
11Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence
12Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning
21Advanced Programming, Linear Algebra and Statistics for Machine Learning, Deep Learning Fundamentals
22Machine Learning Models, Natural Language Processing, Computer Vision
31Reinforcement Learning, Big Data Analytics, Ethics in AI
32Capstone Project, Electives (IoT, Robotics, Advanced Deep Learning, etc.), Industry Internship
This table is a simplified representation and should be adapted or expanded based on the actual curriculum provided by the institution. Remember, for the most accurate and specific information, it's best to consult directly with the Lucky Institute of Professional Studies.

Lucky Institute of Professional Studies BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Mathematics for Computer Science, Digital Fundamentals, English Communication
Semester 2Data Structures, Object-Oriented Programming, Discrete Mathematics, Environmental Science
Semester 3Database Management Systems, Operating Systems, Web Technologies, Soft Skills
Semester 4Computer Networks, Theory of Computation, Python Programming, Introduction to Artificial Intelligence
Semester 5Machine Learning, Deep Learning, Big Data Analytics, Artificial Neural Networks
Semester 6Natural Language Processing, Computer Vision, Robotics, Project Work

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