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Forward Deployed teaches PMs, BAs, and QA their actual role inside an AI project — not how to code.
Grounded in available product and source data
Most PMs, BAs, and QA engineers on an AI team are watching the project happen around them with no defined role inside it — Forward Deployed is AI process training for non-engineers built specifically to give them one, without teaching anyone to code or build a model.
The course is organized around a 6-phase framework it calls the AI Development Lifecycle — Discovery, Framing, Architecture, Build, Eval, Production — mapping exactly which artifacts and decisions belong to each role at each phase. That reframe stays concrete rather than abstract: a PM who traditionally writes user stories instead defines what the AI is allowed to decide and when a human has to take over; a QA engineer who traditionally writes pass/fail test cases instead designs an evaluation plan defining what 'good enough' even means for a model that can't be unit-tested the normal way.
Getting evaluation criteria right without an ML background is handled through a specific tool, EvalForge, which walks a non-engineer through defining a rubric, running the assessment, and making a defensible go/no-go call with evidence rather than gut feel — directly answering the 'how do I evaluate something I can't code' problem the course is built around.
A free 90-minute live seminar built around a real use case is the entry point, with no credit card required and 30 days of platform access included. From there, an optional 4-week course (Self-Paced or a capped Live Cohort) produces four real work documents by the end: a role map, an AI brief defining what a system must and must not do, a testing plan, and a production-readiness checklist — described as tools to bring to work, not portfolio pieces.
Worth stating directly, in the site's own words: 'AI-generated guidance only — review everything before use. You are responsible for the accuracy of what you present to employers.' That's a meaningful caveat for a course whose output includes documents a student might bring into a real workplace decision.
No — the site states explicitly this is not a coding or model-building course; it's process training for the role a PM, BA, QA engineer, or delivery lead already has, applied to AI projects specifically.
The course reframes it as an evaluation plan rather than a traditional test suite — defining what 'good enough' means for a probabilistic system, then using EvalForge to build a structured rubric and make a go/no-go call with evidence.
The site frames them as working tools specifically, not assignments to file away — an AI brief and a readiness checklist, for instance, are meant to be brought into a real planning meeting or handoff, not graded and forgotten.
Yes — a free 90-minute live seminar covers a real use case, requires no credit card, and includes 30 days of platform access, positioned as the entry point before deciding on the paid course.
No — the site states its guidance is AI-generated and should be reviewed before use, and that the student remains responsible for the accuracy of anything presented to an employer based on it.
No — the site frames it broadly for PMs, BAs, QA, delivery leads, and engineers, including people preparing to discuss AI-project experience in a job search, not only those currently assigned to one.
