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.
Author Name: Naveed Tauhid
Author Description:
Navidut (Naveed) Tauhid is an IT Consultant and Architect with more than 17 years of industry experience. He has deployed, maintained, and troubleshot numerous large-scale enterprise projects for many multinational companies. 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 Collaboration, Voicemail and Contact Center Specialist and CCNA R… more

Table of Contents

• 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