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DP-D · Workbook

ML System Design Interview Workbook

25 fully worked ML system design case studies for FAANG interviews. Each uses the same 7-step framework: problem scoping, metrics, data strategy, feature engineering, model architecture, training & evaluation, serving & monitoring. Includes "what earns points with interviewers" for every case.

25 case studies 7-step framework FAANG-level Feature engineering Serving design
$99

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Systemdr, Inc.
Systemdr, Inc.
aieworks.systemdrd.com · Newsletter

Why this resource delivers outsized value

25 full case studies with interviewer-grade solutions.

What you get

  • 7-step framework used at Google, Meta, Amazon, OpenAI
  • Company-tagged difficulty: startup to hyperscaler
  • "What earns points" tips per case
  • Practice mode: attempt each step before reading the solution

Who it's for

  • Senior SWE -> MLE transitions
  • Candidates 4-8 weeks from onsite
  • Anyone failing ML system design rounds

7-step ML system design framework

1.Scoping -> 2.Metrics -> 3.Data -> 4.Features
       -> 5.Model -> 6.Training/Eval -> 7.Serving/Monitor

Deliverable

Premium PDF: DP-D-ML-System-Design-Workbook.pdf — professionally formatted, print-ready, with Systemdr, Inc. branding throughout.

More free guides and build logs:

Subscribe on Substack → Visit aieworks.systemdrd.com →

25 full case studies with interviewer-grade solutions.

What you get

  • 7-step framework used at Google, Meta, Amazon, OpenAI
  • Company-tagged difficulty: startup to hyperscaler
  • "What earns points" tips per case
  • Practice mode: attempt each step before reading the solution

    • 7-step ML system design framework

    1.Scoping -> 2.Metrics -> 3.Data -> 4.Features
       -> 5.Model -> 6.Training/Eval -> 7.Serving/Monitor

    Published by Systemdr, Inc. · aieworks.systemdrd.com · Newsletter