What you'll learn

Most GenAI systems start as simple API wrappers and break the moment they hit production traffic, regulatory requirements, or multiple workloads with conflicting needs.

In this course, GenAI System Architecture Overview, you'll learn to design, evaluate, and document production-grade GenAI architectures.

First, you'll explore the core components of a GenAI system and how architectural patterns like RAG, agent-based systems, and hybrid approaches map to different workload requirements.

Next, you'll discover how to scale each layer independently, identify and resolve common bottlenecks, design clean APIs, and integrate with existing enterprise infrastructure.

Finally, you'll learn how to document your architecture using C4 diagrams and ADRs, manage technical debt, and communicate architectural decisions to both technical and non-technical stakeholders.

When you're finished with this course, you'll have the skills and knowledge of GenAI system architecture needed to design multi-workload GenAI systems, make structured trade-off decisions, and produce the documentation that keeps your architecture maintainable as it evolves.