Exploring Generative AI Models and Architecture

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

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.

• Course Overview 1min
• Introduction to Generative Models 8mins
• Variational Autoencoders (VAEs) 6mins
• Transformers 6mins
• Chatbots 5mins
• Generative Adversarial Networks (GANs) 5mins
• Combination Models 5mins
• Large Language Models (LLMs) 7mins