Rapid Prototyping for AI Projects
The FDE's core skill: turn a vague client ask into a scoped, working prototype — fast — without building the wrong thing. Frame the problem, choose the approach and model, cut scope, and demo a go/no-go.
Modules
6
Verified
0
In Progress
0
What you walk away with
- ✓A shareable portfolio URL with your project walkthrough
- ✓Module-by-module timeline of everything you built
- ✓All the code — pipelines, guardrails, deployment configs
- ✓Production patterns documented on your profile
A client hands you nine ambiguous words — "Our support team is drowning. Can AI help?" — and looks at you for an answer. This course is the forward-deployed engineer's real skill: turning a vague ask into a scoped, working prototype fast, without building the wrong thing. You frame the real problem before choosing a solution, pick the right approach (RAG vs. agent vs. classic ML vs. workflow vs. no-AI) and the right model (quality vs. cost vs. latency, with routing), cut scope to the smallest convincing build, and demo a go/no-go. A prototype is a question, not a product — the fastest path to a confident no is as valuable as a yes. The front of the FDE journey.