This course teaches you to design the architecture of AI systems that run inside a real company: everything around the model that decides whether it is safe, affordable and allowed to go live.
You work on one case study. Halden Insurance is a fictional European insurer with old core systems, customers in two countries and a compliance team that reads everything. Module by module, we discuss AI architecture: We start with fundamentals, move over to a gateway in front of the model, retrieval that only shows people the documents they are allowed to see, an agent with a budget and a clear way to stop, protection against prompt injection, an audit trail, the EU AI Act classification, and the evaluation that decides whether a release goes out. In the last module you review the whole system the way a design board would and work out what still needs fixing.
Eleven of the twelve modules end with a hands-on lab. You write the documents architects actually get asked for, like a decision record, an agent charter, a threat model or a go-live pack, and you draw the architecture yourself as it grows. Every lab comes with a worked solution, and every module with a short quiz.
