FDE qualification workshop
For FDEs and delivery leads: review fit/gap, measures, resources, risk and scope.
Takeaway: fit memo and exclusions
Train product-side FDEs in business modeling, tenant extensions, agent engineering and acceptance. Domain experts and product teams participate in reviews.
Suggested formats for discussion, not scheduled cohorts, fixed quotes or service guarantees.
For FDEs and delivery leads: review fit/gap, measures, resources, risk and scope.
Takeaway: fit memo and exclusions
Build ontology and tools, an evaluation runner or production controls, with code and tests as primary outputs.
Takeaway: task spec, eval set and pilot design
Develop a complete portfolio from diagnosis to reuse on a sandbox or authorized pilot.
Takeaway: portfolio, runbook and reusable assets
Validate the job and data prerequisites before expanding investment.
Align business, technical and user definitions of good through evidence.
Retain task specs, eval cases, runbooks and knowledge-maintenance methods.
Generate a brief to discuss with AIelsen or an internal owner. It is processed only in this browser, with no sending, server storage or automatic enrollment.
The full FDE course requires coding, SQL, APIs and Git. Prepare with the prerequisites. Domain experts can join discovery and review; FDE learners complete the engineering.
Use the lectures, boards, worksheets and engineering kit for self-study now. Team training staffing, dates, scope and support are agreed separately.
Subject to data rights, isolation, responsibilities and minimum scope. Otherwise use synthetic exercises and upload no private materials.
No. Assessable objectives are capabilities and artifacts. Production depends on resources and governance; business impact needs separate validation.
Build delivery capability through modules, engineering and reviews. For an enterprise project, explore the FDE service site to discuss workflows and scope.