Training - FDECo

Upskill and certify your team in Applied AI

Develop experienced engineers into production-ready Applied AI Engineers and Forward Deployed Engineers through intensive, hands-on training built around real enterprise AI delivery.

We build capability by developing proven engineers into Applied AI Engineers and Forward Deployed Engineers who can work across real systems, real workflows and real business constraints.

5+ years

Minimum engineering experience at intake

6–8 weeks

Intensive Applied AI cross-training

The capability gap

Production AI needs more than AI knowledge

The models are available. The harder part is finding people who can make them work against real data, systems, workflows and business constraints.

That requires engineers who already understand how to ship production software and can add the Applied AI layer on top: agents, retrieval, evaluation, observability, LLMOps and production deployment. It also requires people who can work through an ambiguous business problem, identify where AI can create value and scope the smallest credible system capable of delivering it.

Rather than competing for a limited pool of ready-made Applied AI Engineers and FDEs, we can build them.

How it works

Experienced engineers. Applied AI capability. Built around your environment.

01 Hire

We define the profile you need and identify experienced software, data or AI engineers with the right technical and delivery foundation.

02 Train

Engineers complete intensive cross-training in Applied AI and Forward Deployed Engineering, tailored to your technology stack, tooling and business environment.

03 Deploy

Once trained and validated, they embed into your team and apply that capability against real AI delivery requirements.

04 Develop

Their capability continues to grow through ongoing technical learning, mentoring and certification.

05 Convert

At the end of the agreed deployment, you can bring engineers into your permanent team, continue the engagement or adapt the model as your requirements evolve.

Every participant arrives with an established engineering foundation. The training adds the Applied AI and delivery disciplines needed to operate effectively in live enterprise environments.

What they are trained to do

Applied AI that works beyond the demo

Training is practical and production-focused. Engineers build, evaluate and defend working systems rather than learning the technology in isolation.

Core areas include:

GenAI and agentic engineering
Retrieval and tool use
Evaluation and observability
AI safety and governance
Production deployment and LLMOps
Customer discovery and technical scoping
Commercial thinking and business value

What that looks like in your team

From discovery to production

Discover

Work with technical and business stakeholders to understand the problem, workflows, data and constraints.

Build & ship

Develop agents, integrations, retrieval systems and evaluation frameworks inside the real operating environment.

Evaluate & adapt

Measure performance, identify failure and improve deployed AI as requirements evolve.

Govern & hand over

Document systems, transfer knowledge and help your organization build the confidence to own and develop the capability long term.

Built around real delivery

Training shaped by what production actually demands

FDECo’s role is to ensure the capability being developed reflects the realities of Applied AI delivery.

That means training around the problems engineers face once AI leaves the demo environment: enterprise integration, evaluation, governance, observability, cost, stakeholder alignment and handover.

This specialist training and talent infrastructure allows us to combine real-world delivery expertise with structured technical development.

From training to delivery

Training is only one route.

Do you need experienced Forward Deployed Engineers now?

FDECo can embed them directly into your team.

Do you need to own the outcome end to end?

We can take responsibility for the full AI project.

That gives you the flexibility to build capability internally, bring in experienced expertise or combine both approaches around the same roadmap.

Build your Applied AI capability

Tell us what you are trying to deploy, the capability you already have and where delivery is getting stuck.

We’ll help you build the right mix of Applied AI skills and Forward Deployed Engineering capability around it.