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Generative AI models foundations

Track :

Artificial Intelligence

Lessons no : 19

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What will you learn in this course?
  • Master the fundamental concepts of generative AI models including GANs, VAEs, and Transformers for data synthesis and creativity
  • Implement and train generative adversarial networks (GANs) to produce realistic images, text, and music data
  • Apply variational autoencoders (VAEs) for efficient data compression and realistic data generation in various domains
  • Utilize Transformer architectures to generate coherent text, images, and multimedia content effectively
  • Evaluate ethical considerations and responsible practices in developing and deploying generative AI models
  • Design practical projects using generative AI techniques for innovative applications in art, entertainment, and data augmentation
  • Analyze the strengths and limitations of different generative models for real-world problem solving
  • Integrate generative AI models into existing workflows to enhance creativity, automation, and data synthesis

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Lessons | 19


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Kristam Gitasri

Its great that assembling all the important topics and segregating at one place 2025-08-05

GHULAM MEHDI KHAN

... 2025-05-19

Reema safrin

Worth it 2024-12-30

Mohammed waseem

Excellent 2024-10-13

Abdul Khader

Nice 2024-10-09

PARESH RAIZADA

excellent 2024-04-28

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Generative AI models course, in this course you'll delve into the fascinating realm of artificial intelligence dedicated to creativity and data synthesis. Beginning with an exploration of the foundational concepts, we'll dissect various types of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based architectures. Through hands-on projects and theoretical discussions, you'll gain a comprehensive understanding of how these models generate realistic data across domains like images, text, and music. Additionally, ethical considerations and practical applications of generative AI will be explored, equipping you with the knowledge to navigate this cutting-edge field responsibly and innovatively.