Generative AI: Foundation Models and Platforms

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Explore the transformative world of generative AI with our comprehensive course on "Generative AI:

Foundation Models and Platforms", brought to you in collaboration with Coursera. Designed for both enthusiasts and seasoned practitioners, this course delves into the core concepts, models, and platforms that define the fast-evolving landscape of generative AI.

Dive into the fundamentals of deep learning, large language models (LLMs), GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), transformers, and diffusion models.

These critical building blocks lay the groundwork for understanding generative AI and its foundation models. Gain insight into the utilization of pre-trained models and platforms that are pivotal in AI application development, enabling the generation of text, images, and code through foundation models.

Enhance your learning experience with hands-on labs, providing you with the valuable opportunity to apply your knowledge through practical use cases within the IBM generative AI classroom and other platforms such as IBM WatsonX.

Elevate your understanding of generative AI platforms including Hugging Face, and explore various models like IBM Granite, OpenAI GPT, Google Flan, and Meta Llama.

Benefit from the wisdom of expert practitioners who will share their insights into the capabilities, applications, and tools pivotal to the field of generative AI. Whether your interest lies in deep learning, generative AI, diffusion models, or IBM Watson technologies, this course offers a rich curriculum tailored to broaden your knowledge and skills in these cutting-edge areas.

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Enseigné par

Rav Ahuja

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