Phase 9: Client Communication & Career · 55 min · Python · Markdown

FDE Interview Prep & 6-Week Plan

Structured preparation beats unstructured anxiety.

What you will learn

Execute Week 1-2: Decomposition case study practice — 10 mock problems, timed 30-min sessions
Execute Week 3: System design for integration — VPC topology, SSO architecture, data pipelines, deployment patterns
Execute Week 4: Client simulation practice — role-play scenarios, communication under pressure
Execute Week 5: Technical deep dive — present and defend a complex AI system, RAG architecture, eval methodology
Execute Week 6: Behavioral and ownership — STAR stories, radical ownership examples, company-specific research

Objective

What you'll learn

This lesson takes approximately 55 min. By the end, you will be able to:

Execute Week 1-2: Decomposition case study practice — 10 mock problems, timed 30-min sessions
Execute Week 3: System design for integration — VPC topology, SSO architecture, data pipelines, deployment patterns
Execute Week 4: Client simulation practice — role-play scenarios, communication under pressure
Execute Week 5: Technical deep dive — present and defend a complex AI system, RAG architecture, eval methodology
Execute Week 6: Behavioral and ownership — STAR stories, radical ownership examples, company-specific research

The Problem

The FDE interview process has a ~15% pass rate across top AI companies. The process includes: a decomposition case study (30 min), system design (45 min), client simulation (45 min), technical deep dive (45 min), and behavioral round (30 min). This lesson gives you a structured 6-week preparation plan targeting each round.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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Key terms in this lesson

RAG (Retrieval-Augmented Generation)