Build engineers who can turn hard customer problems into operated AI systems.

ADEL FDE training develops the judgement required to work across customer context, product thinking, enterprise architecture and hands-on AI engineering. Participants learn through practical work and demonstrate what they can do.

Design an FDE programme

Practical and appliedBuilt for enterprise contextDevelops measurable capability

Who it is for

Create a common operating standard across customer-facing technical roles.

Software, data, ML and platform engineers

Move into forward-deployed roles with stronger discovery and delivery judgement.

Solution architects and technical consultants

Add deeper AI engineering and production fluency.

Engineering leaders

Build an FDE, field engineering or AI delivery function.

Product and programme leaders

Learn to manage outcome-led AI engagements.

Curriculum

A modular path from discovery to production ownership.

01 · FDE foundations

Role, ethics, customer accountability, problem selection and outcome framing.

02 · Enterprise discovery

Workflow observation, stakeholders, systems, data, constraints and risk.

03 · AI engineering practice

Models, context, agents, evaluation, integration, security, reliability and cost.

04 · Forward-deployed delivery

Working proofs, sprint evidence, decisions, executive communication and escalation.

05 · Production and transfer

Observability, runbooks, adoption, coaching, ownership maps and exit criteria.

Learning format

Teach the method through a realistic field problem.

Participants work in teams on a realistic enterprise challenge and present a recommendation, proof plan, architecture and operating path to expert review.