Forward Deployed Engineer Lifecycle for GenAI Solutions
A guided, multi-course journey that builds this skill from the ground up. Work through the chapters in order, or jump to any lesson.
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Run a Stakeholder Discovery Sequence Across End Users, Business Owners, and Security/Privacy StakeholdersCapture the Current-State Workflow and Define the Target Job to Be Done With Measurable OutcomesBuild a Constraints Inventory Covering Latency, Cost, Integration, Audit, and Change-Management RequirementsPerform a Data Reality Check Covering Sources, Access, Permissions, PII, Retention, Quality, and FreshnessWrite the Problem Statement and Initialize the Risk Register With Key Risks, Owners, Assumptions, and Open Questions
Choose the Prototype Type That Best Reduces the Biggest Remaining UncertaintyWrite a Prototype Plan Covering Hypotheses, Success Checks, Required Data, Demo Flow, and ConstraintsRun Structured Feedback Loops Using a Rubric Tied to Success Metrics and Update the Backlog Based on FindingsControl Scope by Evaluating Change Requests Against Goals, Non-Goals, Assumptions, Risks, and Timeline
Map Major AI Failure Modes and Threats to Business RiskUse OWASP LLM Top 10 to Prioritize ThreatsChoose Mitigations: Controls, Permissions, and EscalationAdd Regression Tests, Release Gates, and MonitoringBuild a Production Readiness Checklist for LLM AppsPackage the Handoff: Ownership, Runbook, and Backlog