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Online BCA Artificial Intelligence & Machine Learning

Name: Online BCA In Artificial Intelligence and Machine Learning Subjects & Syllabus 2026: Semester-Wise Curriculum
Price: 40200 - 175000 INR

An online BCA (Bachelor of Computer Application) in Artificial Intelligence (AI) and Machine Learning (ML) is an undergraduate degree that provides comprehensive knowledge and skills in AI and ML technologies. This is a UGC-DEB-approved program offered by top universities in India, providing benefits like flexibility, convenience, affordability, online and on-demand examinations, and access to global institutions. The core subjects to be focused on in this program are machine learning algorithms, computer vision, deep learning, natural language processing, and robotics.

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Artificial Intelligence and Machine Learning programs from top Universities

Amity University Online

Top Rated

Artificial Intelligence and Machine Learning From Amity University Online

4.7/5

UGC-DEB, AICTE, NIRF, WES, QS World University Rankings, DEC

₹ 1,75,000

Amrita University Online

Top Rated

Artificial Intelligence and Machine Learning From Amrita University Online

4.5/5

UGC, AICTE, NIRF, WES, NAAC A++, Category-1 Autonomy

₹ 1,65,000

Shoolini University Online

Top Rated

Artificial Intelligence and Machine Learning From Shoolini University Online

4.7/5

UGC, NIRF, NAAC, ISO

₹ 75,000

Vivekananda Global University Online

Top Rated

Artificial Intelligence and Machine Learning From Vivekananda Global University Online

4.6/5

UGC, AICTE, AIU, NAAC A+

₹ 1,14,000

Online BCAin Artificial Intelligence and Machine Learning Course Subjects/Syllabus

Online BCA in Artificial Intelligence & Machine Learning is a program of 3 years, and it is divided into 6 semesters. You can check the important subjects of the course in the table below:

Semester I	Semester II
Installation of Anaconda Introduction to Jupyter Notebook Python objects, data types, Type casting Python Operators, Conditional Statement, Data Structures Loop Statements, Functions Numpy Pandas Visualization—Seaborn Application of Python in ML Assignments, Assessments & Mentoring	Statistics: Introduction, Applications, Types of Statistics, Basic Terminologies, Types of Data Sampling, Types of Sampling, Cochran's Formula, Sampling Error Measures of Central Tendency, Measure of Spread, Normal Distribution & Properties, Python Implementation Types of HT, Basic Terminologies in HT Introduction and application to ML 2 AI use cases Assignments, Assessments & Mentoring
Semester III	Semester IV
Introduction to ML Linear Regression (MV, Outlier) Logistic Regression (Scaling) SVM (Cross Validation, Categorical Micro Projects Naïve Bayes (Balancing the data) Assignments, Assessments, Mentoring & Micro Projects	Clustering KNN Decision Tree (Hyperparameter tuning) Bagging, Random Forest Boosting Introduction to AI 1 AI Use Cases Mentoring (2 sessions) Assignments, Assessments, Mentoring & Micro Projects
Semester V	Semester VI
AI overview Computer Vision 1 Computer Vision 2 - Object Detection Natural Language Processing Mentoring Assignments, Assessments, Mentoring & Micro Projects	How to understand and work on real-life AI projects 2 AI Projects, paper submission, and mentoring

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