FDE Path
Forward Deployed Engineering
Visual Roadmap
11 stages · click any stage to jump
Software Engineering
The engineering craft customers assume y…
AI Engineering
The LLM, RAG and agent skills you will d…
Technical Discovery
Find the real problem, score use cases a…
Solution Architecture
Design under real constraints: permissio…
Rapid Prototyping
Prototypes that prove value quickly with…
Customer POC
Scope a pilot that cannot drift, and mea…
Production Deployment
Ship to real users inside the customer's…
Enterprise AI
Security reviews, executive communicatio…
Agent Deployment & Identity
Always-on agents with their own identiti…
Operating & Evaluating Agents
Evaluations, audit logs, cost controls a…
FDE Capstone
Run an end-to-end customer engagement on…
Overview
Work at the intersection of customer, product, engineering and AI. Master discovery, solution architecture, rapid prototyping, customer POCs, productionisation and enterprise AI deployment.
Learning outcomes
- Run effective technical discovery with enterprise customers
- Design solution architecture under real constraints
- Ship customer-specific POCs rapidly
- Productionise bespoke implementations
- Communicate technical solutions to stakeholders
Stages
The engineering craft customers assume you have.
The LLM, RAG and agent skills you will deploy for customers.
Find the real problem, score use cases and check the data.
FDE Engineering FundamentalsDesign under real constraints: permissions, data residency, cost.
FDE Engineering FundamentalsPrototypes that prove value quickly without becoming throwaway work.
FDE Engineering FundamentalsScope a pilot that cannot drift, and measure it with the customer's data.
FDE Engineering FundamentalsShip to real users inside the customer's environment.
Security reviews, executive communication, handover and saying no.
FDE Engineering FundamentalsAlways-on agents with their own identities, scoped credentials and approval rules.
FDE Engineering FundamentalsEvaluations, audit logs, cost controls and incident response for agents in production.
Run an end-to-end customer engagement on a realistic scenario.