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FDE Path

Forward Deployed Engineer — career training path

26 lessons

Curriculum

  1. Module 1 · Customer Engineering Documentation

    • Documenting the business you’re about to change14 min
    • Process capture in practice35 min
  2. Module 2 · AI Data Journeys & Lineage

    • From business process to AI data journey16 min
    • Map data lineage from day one38 min
  3. Module 3 · PRD, Design & Test Specs

    • Blueprints that start from business value15 min
    • Stage 1 knowledge check5 min
  4. Module 4 · Scalability, Security & Compliance

    • Enterprise audits are the real bar16 min
    • Harden a service for audit40 min
  5. Module 5 · The Complex AI Stack

    • Ontologies, knowledge graphs & vector stores18 min
    • Stand up the knowledge layer45 min
    • Tour the FDE toolbox12 min
  6. Module 6 · Context Management & Memory

    • Context and memory engineering14 min
  7. Module 7 · Fit-K8s-Anywhere & Private Endpoints

    • Ship onto Kubernetes and private endpoints42 min
    • Stage 2 knowledge check5 min
  8. Module 8 · Success Criteria Alignment

    • Define strict success criteria for agents15 min
    • Write the success-criteria contract32 min
  9. Module 9 · Continuous Delta-Based Evaluation

    • The delta-based evaluation framework17 min
    • Build a delta-eval harness44 min
  10. Module 10 · Reliability Engineering & Observability

    • AI-native observability from the ground up14 min
    • Stage 3 knowledge check5 min
  11. Module 11 · Beyond Lift-and-Shift

    • Why rebuilt legacy workflows fail for AI14 min
    • Redesign a workflow AI-native38 min
  12. Module 12 · Change Management & Workflow Re-design

    • Intentional change management15 min
  13. Module 13 · User Training & Ecosystem Orientation

    • Deep user training & ecosystem orientation13 min
    • Stage 4 knowledge check5 min
  14. Module 14 · Capstone Brief

    • Capstone brief: carry a problem through all four stagesSelf-paced