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Forward Deployed Engineer Roadmap 2026

From programming foundations to running AI deployments with customers. Tick off skills as you go; your progress is saved in this browser.

Stages 6 Time 9–12 months Updated Oct 2026
Your progress0 of 24 skills
Stage 01 · Weeks 1–8

Programming foundations

Get comfortable writing, reading and debugging code in the language most AI tooling uses.

0/4
What to learn
Tools
PythonPostgreSQLGitVS Code
ProjectBuild a CLI tool that pulls data from a public dataset and writes a summary report.
Stage 02 · Weeks 9–14

APIs and integrations

Most FDE work is connecting a product to systems you did not build. Learn how services talk to each other.

0/4
What to learn
Tools
FastAPIPostmanAirflowPydantic
ProjectSync data between two SaaS APIs on a schedule, with retries and logging.
Stage 03 · Weeks 15–22

LLMs and retrieval

Use foundation models to answer questions over a customer’s own data, and measure whether the answers are good.

0/4
What to learn
Tools
OpenAI / Anthropic APIspgvectorLlamaIndexRagas
ProjectA document Q&A assistant over a company handbook with an eval set of 50 questions.
Stage 04 · Weeks 23–30

Agents and tooling

Build systems where a model calls tools and takes multi-step actions, with guardrails to keep them safe.

0/4
What to learn
Tools
LangGraphMCPOpenTelemetryLangfuse
ProjectAn agent that triages support tickets, drafts replies and escalates edge cases to a human.
Stage 05 · Weeks 31–40

Cloud and deployment

Ship what you build into environments you do not control, and keep it running.

0/4
What to learn
Tools
DockerGitHub ActionsTerraformGrafana
ProjectDeploy your RAG assistant behind auth with CI, logs and a usage dashboard.
Stage 06 · Weeks 41–48

Working with customers

The skills that separate an FDE from other engineers: scoping, communicating and handing over.

0/4
What to learn
Tools
NotionLoomMiroLinear
ProjectRun a mock two-week pilot: scoping doc, demo recording and a handover guide.