Dive deeper into the world of Generative AI by exploring advanced concepts like transformers, GANs, diffusion models, and multimodal systems. This module equips learners with technical insights and practical knowledge to build, fine-tune, and optimize cutting-edge generative models for real-world applications.
English
Last updated
Fri, 25-Jul-2025
This module delves into the advanced foundations of Generative AI, focusing on the models and techniques driving today’s most powerful AI systems. Learners will explore key concepts such as transformer architectures, Generative Adversarial Networks (GANs), diffusion models, and reinforcement learning with human feedback (RLHF). The course also covers multimodal AI systems that combine text, images, and audio, as well as prompt engineering and model fine-tuning. By the end of this module, learners will have a deeper understanding of how to work with and customize generative AI models for complex, real-world tasks.
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