FDE capability program
Your client won't grade the course. They'll grade the deployment.
Build a bench of forward deployed engineers who can run discovery with a client, build the agent, and take it to production. Every engineer is assessed in auto-evaluated labs, so you know who is ready before you staff them.
- Readiness per engineer: ready, near-ready or not yet, with the gap named
- Built around your domain, your stack and a real enterprise use case
- Start with one team in a [30-day] pilot
Plan a pilot with one team
Tell us who you want to assess. We’ll come back with a pilot plan for your stack.
A program lead replies within [one business day]. Your details are used only for this request.
Built on three decades of enterprise technology skilling at Teknoturf
The staffing question
Your training report and your delivery head are answering different questions.
Clients are buying outcomes from AI engagements, not headcount. That puts engineers in front of the client, running discovery and owning production. Completion data can’t tell you who is ready for that.
What a training dashboard tells you
Who finished the GenAI course
Who passed the quiz
Hours logged per engineer
What your delivery head needs to know
Who can turn a client’s process into a technical approach
Who can build an agent that holds up with real data
Who you can send on-site next month
What changes for the engineer
Four shifts separate a good engineer from a forward deployed one.
01
Requirement to discovery
Runs structured discovery and turns business processes, constraints, risks and KPIs into the right technical approach.
02
Component to outcome
Owns the outcome across RAG applications, agents and multi-agent systems, not just the piece they built.
03
Internal to customer-facing
Works across the client’s business, engineering, architecture and security teams without a manager in the room.
04
Build to production
Ships governed, tested, integrated work that survives contact with production, not a demo.
How the program runs
Engineers build a working enterprise copilot. We measure every step.
[Week 0]
Baseline
Hands-on assessment shows where each engineer starts against the four shifts.
[Weeks 1–3]
Build with a trainer
Live, instructor-led sessions while engineers build in real labs, environments and model infrastructure.
Throughout
Auto-evaluated labs
Every lab is scored on the work itself: discovery, build, integration, testing and deployment.
[Week 4]
Readiness readout
You get a role-readiness view for every engineer and a plan for the gaps.
What you walk away with
A staffing answer, not a completion rate.
See who can go on-site now, who is close and what they’re missing, and who needs more time. Each status is backed by the lab work behind it.
Sample readout · illustrative
Engineer
Status
Gap
Engineer A
Ready
None
Engineer B
Near-ready
Build to production
Engineer C
Near-ready
Requirement to discovery
Engineer D
Not yet
Internal to customer-facing
Client story
"Launched a four-week Agentic AI Project Accelerator for a Fortune 500 IT Consulting Firm
Objective: To enable 1,200 engineers to build and deploy real-world AI agents."
[Global Technology Company]
[1200]
Engineers in the cohort
[4 Weeks]
Project-first hands-on learning and deployment
[72%]
Built and shipped production Agentic AI applications
Questions delivery leaders ask first
How is this different from an AI certification?
A certification confirms someone studied. This program has engineers build and ship a working copilot, and scores that work. You staff from the readout, not the certificate.
Can it match our clients' domains and our stack?
Yes. Domain, technical depth, use case and schedule are set to your workforce and the kind of work your clients buy.
How much time does it take away from billable work?
Hours per week and session format, confirmed by the program team.
Who should be in the first cohort?
Engineers you are considering for client-facing AI work in the next two quarters. The pilot tells you who is ready and what the rest need.
Find out who's ready before your client does.
Start with one team. Get a readiness readout and a plan in [30 days].
