Ten modules, each mirroring real work done inside product teams. AI runs through the workflow rather than sitting in a module at the end, and the whole thing finishes with you defending what you built. Click any module to see what is inside.
The ten modules run in the order a real project runs. You do not open Figma in week one and reverse-engineer a rationale afterwards. You start where product teams start, with the people using the thing, and every module hands its output to the next.
That ordering is why the modules cannot be taken out of sequence. Each one produces something the next one needs, and skipping ahead breaks the case study you are assembling.
Every artifact you produce carries three things: the decision, the reason, and the evidence behind it. That habit is what module ten tests.
AI is taught as capability, not as tools. Naming a specific tool as permanent curriculum would be dishonest, because the tool you learn today may not exist in eighteen months. You learn what AI is for at each stage of the work, then apply it with whatever is current. When the tools change, your workflow survives.
Three kinds of AI exercise run through the modules. The third is the one that changes how people think, and it is why the final module is a defence rather than a presentation.
Work through every module live, with your reasoning critiqued while you are still making it.
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