Post Graduate Program · Shoolini University Online
Online MCA in Artificial Intelligence & Machine Learning
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By providing students with cutting-edge machine learning methods, deep learning frameworks, and AI-powered analytics, Shoolini University's Online MCA in Artificial Intelligence & Machine Learning program aims to prepare them for the AI-driven future. Tech enthusiasts, working professionals, and students who wish to have a solid foundation in data science, automation, and AI development are the target audience for this program.
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Course curriculum of Online MCA in Artificial Intelligence & Machine Learning
Gain from a course curriculum carefully designed for success, blending cutting-edge theory, practical application and real-world insights.
| Semester First | Semester Second | Semester Third | Semester Forth |
|---|---|---|---|
| Fundamentals of Programming (Python & R) | Supervised & Unsupervised Machine Learning | Reinforcement Learning & AI Automation | Blockchain & AI for Data Security |
| Data Structures & Algorithms | Deep Learning & Neural Networks (TensorFlow, PyTorch) | Cloud AI & AI Deployment (AWS, Google Cloud, Azure) | AI-Driven Business Intelligence & Decision-Making |
| Database Management Systems (SQL & NoSQL) | Natural Language Processing (NLP) & Text Analytics | Generative AI & Large Language Models (ChatGPT, BERT, GANs) | Ethics, Compliance & Governance in AI |
| Mathematics for AI & Machine Learning (Linear Algebra, Probability, Statistics) | Computer Vision & Image Processing | AI in Cybersecurity & Ethical AI Development | Capstone Project: Real-World AI Implementation |
| Introduction to Artificial Intelligence | Big Data Analytics & Data Mining | Robotics & IoT Integration with AI | Internship / Research Project |
| Lab: Python Programming for AI & Data Science | Lab: Machine Learning Model Development & Implementation | Lab: AI Model Deployment & Cloud Computing |
Learning outcomes of Online MCA in Artificial Intelligence & Machine Learning
Upon successful completion of the Online MCA in Artificial Intelligence & Machine Learning, you can expect to achieve the following learning outcomes:
Graduates will get a solid foundation in neural networks, AI, machine learning, and deep learning. By becoming proficient in supervised, unsupervised, and reinforcement learning methodologies, they will be able to develop data-driven, intelligent applications. Students will be ready for jobs in AI-driven businesses by using AI algorithms to solve real-world issues.
In order to create and improve AI models, students will have practical experience using Python, R, TensorFlow, PyTorch, and Scikit-learn. To ensure they can produce effective AI solutions, they will hone their abilities in feature engineering, data manipulation, and model tuning. Additionally, they will be trained in API development, automation scripting, and cloud-based AI deployment.
Graduates will be able to create AI apps for sentiment analysis, language translation, and text and speech recognition. Additionally, they will focus on computer vision technologies related to automation, security, and healthcare, such as facial recognition, object detection, and image categorization.
In order to examine enormous datasets and derive insightful information, students will acquire skills in data mining, predictive modeling, and big data processing. In order to ensure they can manage high-volume AI-powered data analytics, students will acquire familiarity with SQL, NoSQL databases, Hadoop, and Spark.
The course offers comprehensive instruction on how to install AI models on cloud computing platforms such as Microsoft Azure, Google Cloud, and AWS. In order to develop intelligent, automated solutions for sectors like manufacturing, healthcare, and smart cities, graduates will also investigate the integration of AI with IoT devices.
Eligibility for Online MCA in Artificial Intelligence & Machine Learning
- Candidates must have a Bachelor’s degree in Computer Applications (BCA), Computer Science, Information Technology (IT), or a related field from a recognized university. A minimum of 50% aggregate marks in the qualifying bachelor’s degree. A relaxation of 5% (i.e., 45% aggregate marks) is applicable for reserved category students.
- A student with foreign education must have completed graduation or an equivalent qualification from a recognized university or institution, with a certificate of equivalence from the Association of Indian Universities.
Fee structure of Online MCA in Artificial Intelligence & Machine Learning
Fees are payable per semester. Most programs offer no-cost and low-cost EMI options — talk to a counselor for the exact fee structure and any scholarships available to you.
| Semesters | Fees |
|---|---|
| Semester 1 | ₹21 K |
| Semester 2 | ₹21 K |
| Semester 3 | ₹21 K |
| Semester 4 | ₹21 K |
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Career opportunities after Online MCA in Artificial Intelligence & Machine Learning
Lucrative career designations await you after completing this program. Some of the roles include: