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GEN AI

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.

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Offered by 360Digi6 hrsEnglishCourse instructor with 2+ years of Industries Expreience

Learning outcomes

Deep understanding of the fundamental principles and applications of generative models in AI.

Students will gain hands-on experience in developing and training various generative models, including autoencoders, variational autoencoders (VAEs), and Generative Adversarial Networks (GANs).

Students will also learn to implement Transformer models like GPT for text generation and explore advanced techniques such as RNNs, LSTMs, and flow-based models.