Online BCA in Artificial Intelligence at Vivekananda Global University is an undergraduate program of 3 years which specializes in artificial intelligence. This program is delivered through an online platform, which is supported with advanced LMS technology and provides proper flexibility to the students. The program offered flexibility to help the working professionals and busy learners to balance their studies, work, and other commitments without any compromises.
VGU Online BCA syllabus covers modern subjects like machine learning, robotics, IoT, predictive analytics, and cybersecurity, which makes the student a perfect candidate for the modern business situations. VGU Online faculty are experts and industry practitioners, offering in-depth knowledge related to the AI techniques and approaches in a perfect blend of theoretical and practical ways.
So, if you want to upgrade your skills and professional life with flexibility, then this VGU Online BCA in Artificial Intelligence can be a worthwhile investment.
Course | Per Semester | Total Fees | One Time Fees |
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Artificial Intelligence |
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VGU Online BCA in Artificial Intelligence is a verified program which helps the students gain expertise in artificial intelligence. This program has earned various approvals and accreditations, showing its credibility and high educational standards
Semester 1 |
Semester 2 |
Semester 3 |
Basic Mathematics 4 Fundamental of C 4 Basic Electronics 4 Principle of Programming Languages 4 Fundamental of C Lab 4 PC Software and Automation 2 Multimedia Systems 2 |
Object Oriented Programming with C++ 4 Data Structures and Algorithms 4 Management information system 4 Object Oriented Programming with C++ Lab 4 Data Structures Lab 4 Soft Skill and Professional Aptitude 2 Mathematical Computation of Data 2 |
Database Management Systems 4 Computer Networks 4 Operating Systems 4 Discrete Mathematics 2 Artificial Intelligence 2 Database Management Systems Lab 4 Internet & Web Programming Lab 4 |
Semester 4 |
Semester 5 |
Semester 6 |
Programming in Java 4 Artificial Intelligence 4 Computer Graphics and Visualization 4 Machine Learning 2 Deep Learning 2 Computer Graphics Lab 4 Programming in Java Lab 4 |
Software Engineering 4 Software Engineering Lab 4 Python Programming 4 Python Programming Lab 4 Reinforcement Learning 2 Natural Language Processing 2 Project Formulation and Appraisal 4 |
MAJOR PROJECT 14 Chat Bot Development 2 Software Project Management 2 |
VGU Online BCA exams are conducted to evaluate the learnings of the candidate and their capability according to their performance during the examinations. These exams are sacred with online proctoring technology and advanced webcams, detecting suspicious activities during the examinations.
Continuous Evaluation or Internal Assessments cover 50% of the marks which include the mid-term exams, quizzes, assignments, and projects, which evaluate the practical knowledge and participation of the students.
End-semester Examinations cover 50% of marks, which consists of a 2-hour examination at the end of each semester to evaluate the theoretical knowledge of the students.
With the advanced VGU Online BCA syllabus, you will learn many skills in the artificial intelligence field. The following are the top skills which you will gain after completing the VGU Online BCA in Artificial Intelligence program:
Skills |
Description |
Machine Learning Model Building |
You will learn to design, train, and test machine learning models with algorithms like decision trees, support vector machines, and neural networks. You will also learn how to preprocess data, feature selection, hyperparameter tuning, and model validation to address intricate real-world issues. |
Natural Language Processing (NLP) Techniques |
You will gain experience in building systems that comprehend and produce human language. These include abilities in text processing, sentiment analysis, language modeling, and deploying chatbots or virtual assistants using platforms such as BERT, GPT, or spaCy. |
Deep Learning and Neural Network Architectures |
You will learn to design and deploy deep learning models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to perform image recognition tasks, speech processing, and time series tasks. You will also study transfer learning and model optimization methods. |
AI Ethics and Responsible AI Deployment |
You will understand ethical principles in AI development, such as detecting bias, fairness, transparency, and privacy maintenance. You will be taught frameworks and guidelines for the responsible deployment of AI that prioritizes user rights and societal well-being. |
AI System Integration and Deployment |
You will learn to embed AI models within larger software systems and ship them on cloud or edge platforms. This involves creation of APIs for model access, containerization with Docker, and monitoring performance of AI systems in production environments. |