Generative AI Architecture and Application Development

The architecture view

This course takes a conceptual look at large language models, covering their foundational architecture, how they are trained and the range of applications they support. It is framed around understanding why models behave as they do before building with them.

Topics that stand out

• Generative model architectures and how they are structured
• Retrieval-augmented generation and fine-tuning as ways to adapt a model
• Model evaluation, data ethics and information privacy

Who it suits

Listed at a beginner level, it suits product managers, analysts and developers who need a conceptual grounding in generative AI before choosing technical approaches. Hands-on builders may want to pair it with a more practical course.