Generative AI for Systems Analysis and Architecture

Designing robust systems and gathering accurate requirements can be a complex, time-consuming process. Generative AI offers a powerful way to streamline these workflows and improve technical documentation. This course teaches you how to leverage artificial intelligence to enhance your systems analysis and architecture tasks. You will start with the foundational concepts of generative AI and prompt engineering, then progress to practical techniques for extracting requirements and structuring technical insights. By the end of this course, you will know how to turn messy stakeholder inputs into clean, actionable system designs and modern agile documentation. What you'll learn: - Understand the core terminology and basic concepts of generative AI in a technical context. - Master foundational prompt engineering techniques, like chain-of-thought, to guide AI reasoning. - Extract clear system requirements from unstructured text, such as stakeholder interviews and emails. - Create structured documentation, including user stories, use cases, and acceptance criteria. - Draft text-based architectural descriptions and modern system workflows using AI assistance. - Apply AI to identify potential edge cases and basic security considerations in your designs. The curriculum begins with essential definitions of AI and systems analysis before moving into hands-on reading exercises and written prompt engineering scenarios. You will progress step-by-step through the lifecycle of gathering, structuring, and documenting system requirements. This course is designed for beginners, aspiring systems analysts, and junior technical architects with no prior AI or advanced engineering experience required. Start reading today to modernize your systems analysis workflow with generative AI.