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Exploring Generative AI Models and Architecture

by Naveed Tauhid

Explore generative AI models and architecture and apply key architectures like VAEs, Transformers, and GANs to real-world problems.

What you'll learn

Are you fascinated by how AI can create new content, from images to text? Do you want to harness this power and apply it to real-world problems?

In this course, Exploring Generative AI Models and Architecture, you’ll gain the ability to understand, design, and implement generative models.

First, you’ll explore the architecture of Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs), and learn how they generate new data from existing examples.

Next, you’ll discover Transformers and their applications in language translation, text summarization, and chatbots.

Finally, you’ll learn about the architecture of combination models, and how to use them in image captioning, etc. By the end of this course, you'll have gained a greater understanding of generative AI models and architecture.

About the author

Navidut (Naveed) Tauhid is Unified Communication and Collaboration Consultant, Contact Center Specialist, and Architect with more than 15 years of industry experience. He has deployed, maintained and troubleshot numerous large scale enterprise UC projects for many multinationals. He has also provided training to thousands of IT students across the globe on various Unified Communication Products and helped them be their technical best. He is a certified CCIE Collaboration Written, CCNP Collaborat... more

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