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IBM vía Coursera
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Generative AI: Foundation Models and Platforms

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  • Models for Generative AI
    • In this module, you will dive into the core concepts of generative AI, such as deep learning and LLMs. You will explore the models that form the building blocks of generative AI, including GANs, VAEs, transformers, and diffusion models. You will get acquainted with foundation models and gain insight into how you can use these models as a starting point to generate content.
  • Platforms for Generative AI
    • In this module, you will learn about pre-trained models and platforms for AI application development. You will explore the ability of foundation models to generate text, images, and code using pre-trained models. You will also learn about the features, capabilities, and applications of different platforms, including IBM watsonx and Hugging Face.
  • Course Quiz, Project, and Wrap-up
    • This module includes a graded quiz to test and reinforce your understanding of concepts covered in the course. The module also includes a glossary to enhance comprehension of generative AI-related terms.

      The module includes a final project, which provides an opportunity to gain hands-on experience on the concepts covered in the course. Finally, the module guides you through the next steps in your learning journey.