AI FDE interviews test how well you turn messy customer needs into clear technical plans, working code, and sound judgment under pressure. This course builds the core interview muscles for customer-facing applied AI work: problem framing, production agent design, escalation handling, LLM tool implementation, retrieval integration, stakeholder leadership, and self-assessment. It is built for candidates preparing for forward deployed engineer interviews, and for anyone evaluating whether this role matches their strengths and constraints.
The course covers the AI FDE interview loop, ambiguity-driven problem framing, production LLM and agent architecture, customer escalation response, LLM tool wrappers, and RAG retrieval integration. It also addresses behavioral evidence, end-to-end interview synthesis, role fit, and a targeted mock-loop prep plan.