Create an FDE learning roadmap from completed artifacts

A roadmap should reflect prerequisites and demonstrated work. Spending four weeks on a topic does not prove that its artifact is reproducible or understood.

Select the next dependency

The delivery lab models a five-artifact path.

from delivery_cases import roadmap_case

result = roadmap_case()
assert result["completed"] == ["API service", "CLI"]
assert result["next"] == ["deployed integration"]
assert result["calendar_promise"] is False
assert result["evidence_based"] is True

For every phase, name the artifact, prerequisite, acceptance evidence, reviewer and remediation. A possible sequence is CLI, API/data integration, deployed service with restore/rollback, evaluated RAG/agent system, then full client simulation.

Reassess after each review. If tests or explanation reveal a foundation gap, add targeted practice rather than stacking another framework. Keep course duration as planning context, while progress evidence comes from completed and defended artifacts.

The FDE for Freshers course follows seven phases and adds a portfolio artifact at each stage.

Exercise

Build your dependency graph for the next twelve weeks. Attach one acceptance test to every artifact and schedule reviewer checkpoints, then revise from evidence weekly.

Continue learning

This article is part of the FDE career entry and client-delivery practice sequence. Use the neighbouring tasks when you need the prerequisite or the next application.

• Review the preceding task in Present a capstone failure and the repair you made.
• Return to the cluster foundation in FDE readiness for freshers: demonstrate foundations before autonomy.

Reference: GOV.UK service assessment guidance.