The Generative Artificial Intelligence (GEN AI) course provides a comprehensive introduction to the field of generative models, a subset of artificial intelligence focused on creating new data from existing datasets. This course covers foundational concepts, theoretical frameworks, and practical applications of generative AI, including techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models like GPT. Students will explore how these models are developed, trained, and utilized across various domains, including image generation, text synthesis, music creation, and more. Through a blend of lectures, hands-on projects, and case studies, learners will gain a deep understanding of the capabilities and limitations of generative AI, preparing them to innovate and apply these techniques in real-world scenarios.
Intended audience
Data Science
Prerequisites
- Graduation
Assessment & certification
- Assessment fee: Included — no extra fee
- Assessment mode: Online proctored
- Assessment type: MCQ
- Assessment provider: 360DIG
- Certificate provider: Data Science
