Phase 9: Client Communication & Career · 60 min · Python · Markdown
Client Simulation Practice
Practice the pressure before you face it in the room.
What you will learn
- Navigate Scenario 1: Frustrated client with inconsistent AI outputs, VP on the call
- Navigate Scenario 2: Client wants scope expansion mid-deployment, timeline fixed, budget flexible
- Navigate Scenario 3: Client security team blocks deployment 3 days before go-live
- Navigate Scenario 4: Client engineering team resists adoption, need to win them over
- Navigate Scenario 5: Executive presentation to client CTO, 15 minutes, Q&A on architecture decisions
Objective
What you'll learn
This lesson takes approximately 60 min. By the end, you will be able to:
- Navigate Scenario 1: Frustrated client with inconsistent AI outputs, VP on the call
- Navigate Scenario 2: Client wants scope expansion mid-deployment, timeline fixed, budget flexible
- Navigate Scenario 3: Client security team blocks deployment 3 days before go-live
- Navigate Scenario 4: Client engineering team resists adoption, need to win them over
- Navigate Scenario 5: Executive presentation to client CTO, 15 minutes, Q&A on architecture decisions
The Problem
The client simulation is a dedicated interview round at OpenAI, Anthropic, and Palantir. You're placed in a realistic scenario — frustrated client, scope creep, security blocker, adoption resistance — and evaluated on how you navigate it. This lesson gives you five practice scenarios with expected responses, common failure modes, and the communication patterns that pass.
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You've read the first 2 sections. The rest of this lesson covers Build, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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