Forward Deployed Engineer
The engineer who makes AI work in a customer's messy, real environment. Five stages, each with free resources and a project that proves it.
Before you build AI systems, become a power user. Automate one piece of your current job and learn where models fail.
Not a CS degree - the working subset: scripts, HTTP, JSON, calling model APIs, reading errors without panic.
RAG, embeddings, and the unglamorous parts: chunking, caching, cost control. Where most people quit - the 45-minute rule gets you through.
What makes FDE different from backend dev: working inside someone else's constraints. Security reviews, legacy integration, demos that survive a client.
Portfolio assembly, the three write-ups that matter, and targeting: GCCs, services firms going AI-first, AI startups' deployment teams.