Twelve weeks of hands-on skills building, fieldwork with real businesses, live AI deployments, and interview practice, with experienced Forward Deployed Engineers.
Apply for the next cohort See the pathA Forward Deployed Engineer takes an AI system out of the lab and into a customer's actual operation: finds the problem, scopes it, builds against real data and real channels, proves it works, and reports the result in business terms.
Most people close to this work already have some of the skills, but not all of them. Engineers have the technical depth and have never sat across from the customer. Solutions and sales engineers know the customer and have never owned the build. Almost nobody has been given the chance to apply what they have in a situation that is AI-native. The program closes the gaps you have, and gives you that hands-on experience.
growth in Forward Deployed Engineer job postings, January to September 2025. Source: Indeed data via eWeek
committed by major tech and AI companies to dedicated AI deployment units in 2026. Source: Forrester
typical total compensation for FDEs at AI companies; higher at frontier labs. Source: Levels.fyi
The program draws on first-hand experience with how these companies build, deploy, and hire for Forward Deployed work. They are not partners or sponsors of the program.
The concepts the program teaches, across both tracks. The material itself lives inside the program.
Tool use, memory, orchestration, and where a model belongs in a system versus where it doesn't.
Telephony, latency budgets, and the engineering of systems that have to answer in under a second.
How AI systems are tested before and after deployment, and how to prove one works to someone who doesn't trust it.
Making what can be deterministic deterministic, and reserving the model for the ambiguous parts.
Connecting to the tools a business runs: phones, forms, CRMs, booking systems: and shipping into production.
Exception paths, escalation, and the fallbacks that make an automated system safe to leave running.
Running a conversation with a non-technical stakeholder that surfaces the real problem and the number attached to it.
Breaking an ambiguous business problem into a buildable path, with explicit cuts and explicit tradeoffs.
The one-page architecture and decision record written before anything is built.
Choosing the metric, capturing the baseline, and attributing the change honestly.
Turning a deployment into a document a hiring manager or executive reads in three minutes and believes.
Decomposition rounds, take-homes, work simulations, and how to position real work in each of them.
A certificate of completion, and everything behind it. Twelve weeks of real work produces a body of evidence: the kind a hiring manager can open, read, and verify.
An AI system running inside a real business, on their phone line, inbox, or workflow: designed, built, integrated, and shipped.
The hard-skills phase ships working systems: agents over real channels, an evaluation harness, an automated workflow.
Your conversations with real business owners, written up: what you asked, what you heard, what it costs them, and why one problem made the cut.
The problem statement, the number attached to it, what's in and out of scope, and the one-page architecture.
The test suite that proves your system works, the baseline you measured against, and the numbers after it went live.
Problem, number, scope, architecture, evaluation, result: in the house style FDE teams write themselves.
Every simulation recorded: decomposition rounds, design reviews, full loops: with written feedback after each, from your first week to your last.
Resume and positioning rewritten around the deployment, plus the internal pitch or external narrative, ready for whichever move you're making.
Issued when all program deliverables are done, with the syllabus and hours behind it.
The build track moves through four phases of three weeks each. The interview track runs alongside it throughout, light at the start and intensive by the end.
The technical foundations of deployment work: agents that operate over real channels, evaluation frameworks, and the judgment to decide what a model should and shouldn't do.
Discovery as a discipline. How to sit with a non-technical stakeholder, surface the problem that costs them something, and scope it into something buildable.
Design, build, and deploy a complete AI system for a real organization, integrated with the tools they already run, with evaluation and a human fallback behind it.
Measure the outcome, write it up the way deployment teams do, and learn to present technical work in business terms, to interviewers, managers, and customers.
No course library. Experienced Forward Deployed Engineers work the plan with you in regular live sessions, and review everything you ship.
Every interview simulation is recorded and returned with written feedback. Every build has a rubric. You can see the slope.
Six to eight hours a week, scheduled around your work. Sessions are set week by week, and the program flexes when your calendar does.
The program is one-to-one, so seats are limited by the instructor's calendar and filled by fit, not by order of application.
Tell us about your background, what you've built, and what you want out of the next twelve weeks. Takes five minutes; you'll hear back within a day.
A thirty-minute conversation about your background, your target, and whether the program is the right lever for it. Some people are better served elsewhere; we'll say so.
If it's a fit, you receive a personalized twelve-week plan built around your background and target, and you choose a start date.
Many participants have the program covered through a learning-and-development or tuition-reimbursement budget. Everything an approver asks for is provided.
A Forward Deployed Engineer takes an AI system out of the lab and into a customer's actual operation. The role comes down to three skills: understand the business and who owns the problem, turn that understanding into an architecture that improves a number the business cares about, and build and deploy it in a continuous build, test, deploy, monitor cycle. Read What is a Forward Deployed Engineer? and the FDE glossary.
FDE Dispatch is for working engineers moving into Forward Deployed Engineer roles, mainly software engineers and data scientists, plus solutions and sales engineers who know the customer but have never owned the build. Participants work toward one of two outcomes: an FDE role at an AI-native company, or becoming the engineer who deploys AI inside their current company.
FDE Dispatch is built for working software engineers and data scientists, two to six years into their careers. No PhD or Palantir background is needed. Most applicants already build and ship software well. The program closes the other gap: discovery, and translating a business problem into architecture. Admission is decided on fit during a short call.
FDE Dispatch runs twelve weeks at six to eight hours per week, about ninety instructor-guided hours, scheduled around your job. The build track has four three-week phases: hard skills, soft skills and discovery, a full deployment for a real organization, then documentation and communication. An interview track runs alongside, light at the start and intensive by the end.
Participants hold discovery conversations with real business owners to find a problem that costs their operation time or money. They then design, build, and deploy a complete AI system for that organization, integrated with tools it already runs, such as its phone line, inbox, forms, CRM, or booking system. Every deployment ships with an evaluation suite and a human fallback behind it.
Participants leave with a live AI deployment in a real business, a portfolio of builds, discovery field notes, a scoped brief and one-page design doc, an evaluation suite with before-and-after results, and a written case study. They also get recorded interview simulations with written feedback, a rebuilt resume and pitch, and a certificate of completion issued once all deliverables are done.
An interview track runs alongside the build track for all twelve weeks, light at the start and intensive by the end. It covers customer problem decomposition, messy debugging, constrained system design, work trials with stakeholder presentations, deployment retrospectives, role-play, and full interview loops. Every simulation is recorded and returned with written feedback, and participants learn to position their real deployment work in each round. See the FDE interview loop field guide.
Coaching is one-to-one with practicing Forward Deployed Engineers, led by Kris Diallo, who founded FDE Dispatch. Coaches work a personalized twelve-week plan with each participant in regular live sessions, review everything they ship, and grade every build against a rubric.
FDE Dispatch is delivered one-to-one. There is no course library. Each participant follows a plan built around their background and target role. Seats are matched to coach availability and filled by fit.
Yes. Many participants are sponsored by their employer through a learning-and-development budget. The program provides what approvers ask for: a syllabus with outcomes and artifacts, an itemized invoice and receipts from DialTech Ventures LLC in the participant's or company's name, the stated time commitment of about ninety hours, a certificate of completion, and a one-page manager summary.
Start dates are chosen after the fit call. To apply, fill out the five-minute form at fdedispatch.com and you will hear back within a day. If it looks like a fit, you book a thirty-minute fit call, then receive a personalized twelve-week plan built around your background and target. Seats are filled by fit.
Yes. The 90-Day FDE Path is free and public at krisdiallo.com/path, with no sign-up gate. It walks a working engineer from building fluently with AI, to finding and scoping a real problem, to shipping a measured deployment and repositioning their resume. Plenty of people run it solo. FDE Dispatch adds a coach who reviews your work every week, a real business to deploy into, and recorded interview practice.
Bootcamps and guides teach through lectures and simulated projects. FDE Dispatch is built around a live deployment for a real organization, coached by people who do the work. Coaching targets where engineers predictably stall: avoiding the uncomfortable search for a real problem, over-engineering the middle month, and underselling the result with a resume that still reads like a pure engineer.
Every engineer will be a deployment engineer. Most haven't been taught how.
The value of AI is realized at the point where it meets a real operation, and the people who can carry it there are the scarcest talent in the industry. FDE Dispatch exists to teach that work the only way it can be taught: by doing it, for a real business, with someone who does it for a living.
Applications are reviewed as they arrive. If it looks like a fit, you'll hear back within a day with times for a short call, and we build your twelve-week plan from there.
Field notes from live AI deployments, frameworks for learning the work, deployment case studies, what FDE interview loops are testing, and who's hiring.