Twelve weeks, live with industry experts, turning one client's business problem into a working AI system you deploy, measure and hand over - the project you walk a hiring manager through.
A Forward Deployed Engineer sits with the client and owns the whole arc, from the first interview to the handover. This program follows that same arc, week by week.
Hired by OpenAI, Anthropic, Palantir, Salesforce, Databricks and Deloitte - and every enterprise taking AI to production.
One of the fastest-growing titles in AI, and the pay reflects how few people can do the job.
Posting figures are estimated annual salary, USD, Houston TX, via Adzuna. The range reflects the role across markets and seniority.
Get a clear look at the learning path, hands-on work, and the real-world projects that take you from AI foundations to deploying production-ready solutions as a Forward Deployed Engineer.
Two hours a day, Monday to Friday. The first hour is concept and a live demo; the second is a lab you build yourself. Open any module to see what you cover, the labs inside it, and what you hand in.
Nothing is taught in isolation. By week 12 these layers are one running system in a cloud account.
Your capstone runs through all six steps and ends at Demo Day, in front of a panel.
Knowledge-base answers plus ticket actions
Document extraction with human approval
Policy answers and joiner checklists
Match invoices to POs through an ERP API
CRM research and meeting briefs
A problem from your own work, instructor-approved
Not a certificate - a deployed system and the paperwork around it. Here is what one capstone produced.
The deployed app, its CI/CD history, tests and eval suite
C4 diagrams and ADRs explaining every design decision
Groundedness, relevance, tool accuracy, red-team findings and fixes
The problem brief, PRD-lite and SOW outline
Runbook, user guide and adoption plan for the client team
A 10-minute executive presentation you can send a recruiter
Working professionals who can give it two hours a day. No prior AI or ML experience needed.
More than half the time is labs and build sprints, not slides.
OpenAI and Claude, swapped freely - no vendor lock-in.
React, FastAPI and pgvector through to a live URL.
Evals, guardrails, observability and the OWASP LLM Top 10.
Discovery, demos and handover practised, not just discussed.
17 deliverables and one deployed capstone you can walk through.
Four roles the same skill set opens. Outcomes depend on your effort, your prior experience and the market.
Embed with clients and ship AI into their environment
Salesforce · OpenAI · Anthropic · PalantirLLM, RAG and agent features inside products
Product and platform teamsDesign and demo AI solutions for customers
Pre-sales and solution teamsMulti-agent workflows on enterprise tools
Consultancies and enterprise ITThe three steps our 46,000+ learners have used, mapped to what the job description asks for.
Not confident, then confident
No calls, then interview calls
Interviews, then an offer
Both include the full 12-week live program, 45 labs, 17 checkpoints and the capstone.
One payment. Learn the stack and ship the system.
Six-month money-back guarantee
Three monthly payments, $2,097 in total.
Six-month money-back guarantee
One payment. Learn, ship, and go after the job.
Six-month money-back guarantee
Three monthly payments, $3,147 in total.
Six-month money-back guarantee
Do the work, and if it does not deliver, you get your money back.
Did all that and still not satisfied? A full refund. Action-based, six months, no fine print.
Software developers, consultants and tech leads, data and ML engineers, and enterprise application specialists - anyone who can commit two hours a day, five days a week. No prior AI or ML experience is required; the program teaches LLMs, RAG and agents from the ground up.
One programming language (Python is ideal), the command line and basic Git, and a basic understanding of APIs and databases. On the hardware side: a laptop with 8 GB RAM (16 GB is better), admin rights to install Docker and Node.js, OpenAI and Anthropic API accounts, and GitHub, Render and an AWS or Azure account. API and cloud usage is pay-as-you-go, and free tiers and credits apply where available.
Two hours a day, Monday to Friday, across 12 weeks. The first hour is concept and a live demo; the second is a guided lab you build yourself. Friday is checkpoint review. Plan another three to four hours of self-practice a week.
Live and instructor-led with industry experts. Every session is recorded, and you keep access to the recordings and labs for a year.
A deployed capstone and the artifact set around it: a live URL and GitHub repo, an architecture document with C4 diagrams and ADRs, an eval report, the client artifacts, a handover pack, and a 10-minute Demo Day recording. Every item is something a hiring manager can open.
Both include the full 12-week live program, 45 labs, 17 checkpoint deliverables and the capstone. Upskill + job preparation adds FDE resume preparation and a weekly resume clinic, LinkedIn optimization, unlimited mock interviews, a job-search strategy with application tracking, and a year of on-job support after placement.
Yes. Both plans can be split over three monthly payments - switch to Pay monthly in the pricing section to see the amounts.
No one honestly can. What we guarantee is the work: the program, the capstone, and in the job preparation plan the resume, interview and job-search support behind it. Outcomes depend on your effort, your prior experience and market conditions. The program is also covered by a six-month money-back guarantee.
Yes. Corporate cohorts run at a time slot agreed with you, with capstones set in your own business context, weighted deliverables to track progress, and a readiness checklist before week one. Contact your program advisor to arrange it.
Join the next cohort, build a real AI system, and walk away with a project a hiring manager can open.
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