AI FDE Course: Production AI Field Delivery

AI FDE course

This course is organized around one production AI deployment. You will work from an ambiguous customer request to a scoped system, tested prototype, evaluation report, production readiness review, rollout plan, and post-deployment learning package.

The public learning materials and online assessment are available without buying a plan. Team cohorts, instructor review, and paid project support can be added later; the current page describes the curriculum and evidence standard.

Curriculum

Module 1 — Discover

Interview users, map the current workflow, identify the costly bottleneck, and define a measurable outcome. Deliver a discovery brief.

Module 2 — Scope

Choose the first valuable workflow, define data and integration needs, expose risks, write acceptance criteria, and sequence milestones. Deliver a technical scope and delivery plan.

Module 3 — Architect

Compare direct generation, retrieval, tools, agents, structured outputs, and human review. Define trust boundaries, permissions, data policy, and failure behavior. Deliver an architecture decision record.

Module 4 — Prototype

Build a thin full-stack workflow with representative data and real user tasks. Run customer-style tests and record changed assumptions. Deliver the prototype and test log.

Module 5 — Evaluate

Create a representative eval set, define rubrics, measure baseline behavior, cluster failures, and connect model quality to workflow impact. Deliver an eval report.

Module 6 — Productionize

Integrate identity, APIs, data, queues, storage, observability, security, incident response, and rollback. Deliver a production readiness review.

Module 7 — Roll out

Plan user cohorts, enablement, support, adoption metrics, escalation, and expansion or rollback decisions. Deliver a rollout and adoption plan.

Module 8 — Scale field learning

Run a post-deployment review and turn repeated lessons into reusable components, playbooks, eval templates, and product feedback. Deliver a final field portfolio.

Assessment and certification

Each module connects to scenario-exam topics. The AI mentor explains trade-offs without revealing pre-submission answers. Certificates are issued only when the published topic and score requirements are met, and every issued certificate has a public verification page.

AI FDE is an independent community credential, not an official certification from an employer or AI lab. The strongest completion evidence combines a certificate with the eight course artifacts.

Start with the AI FDE online exam, review the complete learning path, or inspect the certificate standard.