Understanding AI Workflows & Infrastructure

This course is built around the work loop—a practical framework showing how any business process actually operates. You'll learn to map your own processes (trigger, input, process, reason, review, output, memory) and see exactly where AI fits in. The instructor walks through accounts payable as a worked example, then shows how agents coordinate multiple connected work loops in that same real process. By the end, you'll have a mental model you can apply to your department or role tomorrow.

No. The instructor explicitly states that deep technical AI knowledge is not the focus. Instead, the course teaches you to understand work first—how it operates, where judgment happens, where repetition happens—and then the technology becomes much easier to grasp. The emphasis is on the work loop and how infrastructure layers support it, not on how AI algorithms work under the hood.

You'll be able to identify which business processes are candidates for AI and automation, prioritize them correctly, and plan implementation in the right sequence. The course teaches you to spot high-volume repetitive work (like AP entry), recognize where judgment is applied, and see how agents can coordinate multiple connected processes. You'll also learn professional productivity as a starting point—helping individuals draft communications, summarize documents, and retrieve knowledge—which builds organizational momentum while larger process transformation takes shape.

It's primarily frameworks and thinking. The course teaches mental models (the work loop, the infrastructure mental map, maturity progression, and implementation sequence) and shows how they connect. You'll see a simple diagram of how an agent manages multiple work loops and how orchestration provides control, but the depth comes from understanding the structure of work and where technology fits into it, not from step-by-step tool walkthroughs.

The course focuses on business process work—structured, repetitive, triggered processes like accounts payable, order fulfillment, customer support tickets, and onboarding. It explicitly covers about 50–60% of work in most organizations. The other categories are professional productivity (email drafting, summarization) and human organizational work (strategy, leadership, culture). The course emphasizes business process work because it's most suitable for AI and automation, but professional productivity is also treated as a practical starting point.