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Course
- AI
Generative AI Models and Architecture
AI tools are evolving fast, and understanding how they work is more important than ever. This course will teach you how generative AI models are built, how they generate content, and how to evaluate and apply them confidently in your work.
What you'll learn
Many people use generative AI tools without understanding how they work or how to assess their outputs. In this course, Generative AI Models and Architecture, you’ll learn to confidently explain, evaluate, and apply core generative AI technologies. First, you’ll explore how transformer-based models like GPT process language using tokenization, embeddings, and attention. Next, you’ll discover how other generative architectures like GANs, VAEs, and diffusion models compare — and what they’re each designed to do. Finally, you’ll learn how to evaluate generative outputs, understand model training workflows, and recognize risks like bias and misuse. When you’re finished with this course, you’ll have the skills and knowledge of AI model architecture needed to make smarter, more informed decisions in your work.
Table of contents
About the author
Amber has been a software developer and technical trainer since the early 2000s. She holds certifications for AWS and a variety of Microsoft technologies. She also focuses on user experience and professional skills training, bridging the gap between techies and non-techies.
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