This comprehensive course, offered by IBM, delves into the rapidly evolving field of generative AI. Participants will explore deep learning, large language models, and core generative AI models, such as GANs, VAEs, transformers, and diffusion models. The course emphasizes the concept of foundation models and their applications for generating text, images, and code. Hands-on labs provide an opportunity to work with IBM generative AI classroom and platforms like IBM watsonx. With a focus on pre-trained models and platforms, the course equips learners with the knowledge to develop AI applications using IBM watsonx and Hugging Face.
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Generative AI: Foundation Models and Platforms covers core models, foundation models, pre-trained models, and platforms. Participants will explore the capabilities and applications of generative AI platforms such as IBM watsonx and Hugging Face.
This module introduces participants to core concepts and models for generative AI, including deep learning, large language models, and foundation models. The course emphasizes the capabilities of pre-trained models and provides hands-on labs to explore the use cases of generative AI through the IBM generative AI classroom and platforms like IBM watsonx.
Participants will delve into pre-trained models for text, image, and code generation, as well as explore platforms such as IBM watsonx and Hugging Face for AI application development. Hands-on labs allow participants to develop AI applications using foundation models and platforms.
This module encompasses a course quiz, project, and wrap-up, providing participants with an opportunity to apply their knowledge and skills gained throughout the course.
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