Jain University Online
Artificial Intelligence (AI)
Jain University Online
₹1.6L – ₹1.6L
Total Fees
3 Years
Duration
ONLINE
Mode
★ 4.0
Rating
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About This Program at Jain University Online
Course Curriculum
| Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 |
|---|---|---|---|---|---|
| Fundamentals of Computer Applications – Introduction to computers, their architecture, and operating systems, providing the base for advanced computing. | Data Structures and Algorithms – Introduction to arrays, linked lists, trees, and graphs to solve computational problems efficiently. | Operating Systems – Study of system architecture, process management, and memory management in modern operating systems. | Computer Networks – Understanding network architecture, communication protocols, and data transmission. | Deep Learning and Neural Networks – Understanding neural networks, CNNs, RNNs, and deep learning frameworks like TensorFlow and Keras. | Big Data Analytics – Introduction to handling large datasets, Hadoop ecosystem, and AI-driven analytics. |
| Programming in C – Learning the basics of programming logic, syntax, and structured programming through C language. | Object-Oriented Programming with C++/Java – Applying OOP principles such as inheritance, polymorphism, and encapsulation to software development. | Python Programming for AI – Practical training in Python, the most widely used programming language in artificial intelligence. | Machine Learning Algorithms – Exploring supervised, unsupervised, and reinforcement learning models. | Computer Vision – Building systems that can analyze and interpret images and video. | AI Ethics and Governance – Exploring ethical considerations, responsible AI, and regulatory frameworks. |
| Mathematics for Computer Science – Covers essential mathematical concepts like linear algebra, probability, and statistics, which are crucial for AI and machine learning. | Database Management Systems (DBMS) – Learning SQL and database concepts to manage, retrieve, and manipulate structured data. | Artificial Intelligence Fundamentals – Introduction to AI concepts, intelligent systems, and problem-solving techniques. | Natural Language Processing (NLP) – Techniques for building AI models that understand and process human language. | Robotics and Intelligent Systems – Basics of robotics, automation, and AI-powered intelligent agents. | Capstone Project – A major project where students design, develop, and deploy an AI solution to a real-world problem. |
| Communication Skills – Builds professional and technical communication abilities for effective workplace collaboration. | Environmental Studies – Understanding sustainability and the role of technology in addressing global challenges. | Probability and Statistics for AI – Focus on statistical models and probability distributions, laying the foundation for machine learning. | Elective / Minor Project – Small-scale projects allowing students to apply machine learning concepts in real scenarios. | Domain-Specific AI Applications – Application of AI in industries such as healthcare, finance, retail, and cybersecurity. | Professional Development & Career Skills – Training in interview skills, teamwork, leadership, and career preparedness. |
Learning Outcomes
What you will achieve after completing this program
Graduates develop a solid grasp of core computer science concepts including programming, algorithms, database management, and operating systems. They become proficient in programming languages such as C, Java, and Python, enabling them to build efficient, scalable, and secure applications.
Students acquire deep knowledge of AI models, machine learning algorithms, natural language processing, and deep learning frameworks. They are able to design, train, and deploy AI-powered solutions for diverse industries such as healthcare, finance, retail, and cybersecurity.
Learners gain hands-on experience with essential AI tools such as TensorFlow, PyTorch, Keras, and Scikit-learn. This practical exposure ensures they can effectively work on projects involving predictive analytics, neural networks, robotics, and computer vision.
Through project-based learning and case studies, students learn to apply AI techniques to real-life challenges. From building intelligent chatbots to predictive modeling and automation systems, graduates demonstrate the ability to innovate and deliver impactful solutions.
Eligibility Criteria
Who Can Apply
Candidates must have completed 10+2 / Higher Secondary / PUC or equivalent examination from a recognized board.
A minimum of 45–50% aggregate marks in the qualifying examination (varies as per category and university norms).
Students from any stream (Science, Commerce, or Arts) are eligible to apply, though a background in Mathematics or Computer Science is an advantage.
Required Documents
10th & 12th Marksheets
Graduation Certificate
Government ID Proof
Passport Size Photo
Finance Your Education
Total Program Fee
₹1.6L
≈ ₹28K per semester
Low Cost EMI
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Scholarship
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Placement & Careers
Career Opportunities
Job Roles
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Fee Structure
| Total Program Fee | ₹1.6L – ₹1.6L |
| Semester Fee | ₹28K |
| Duration | 3 Years |
| Mode | ONLINE |
| Exam Fee | Included |
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Artificial Intelligence (AI)
Jain University Online