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Master of Computer Applications - Generative AI

Overview

Master of Computer Applications (MCA) in Generative AI is a specialized postgraduate program that focuses on the development and application of artificial intelligence techniques for generating new data, content, or solutions. The program combines core computer science concepts with advanced machine learning and deep learning algorithms, specifically tailored to generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and reinforcement learning.

Graduates of an MCA in Generative AI are prepared for careers as AI Researchers, Generative Model Engineers, Deep Learning Engineers, and AI Application Developers. These roles are in high demand as businesses across various industries leverage generative AI to enhance creativity, optimize processes, and create innovative products and services. With its focus on cutting-edge technology, the program offers an exciting opportunity for those eager to contribute to the next wave of AI innovation.

Commence of the course


Course Duration


Mode of Study

Eligibility


Passed BCA / Bachelor Degree in Computer Science Engineering or equivalent Degree or passed B.Sc. / B. Com. / B.A. with Mathematics at 10+2 Level or at Graduation Level (with additional bridge Courses as per the norms of the concerned University).

Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying Examination.


Key Features

Advanced problem-solving and programming skills.

In-depth domain knowledge.

Effective communication and presentation proficiency.

Algorithmic expertise and proof of concept development across diverse technological domains.

Knowledge creation and innovation.

Societal problem-solving with technology.

Contribution to sustainable development goals (SDGs).

Programme Structure

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