Today: AI FDE work
Embedded, customer-facing work: understand needs, prioritize use cases, explain tradeoffs, tune workflows, and push back when a request is unrealistic or unsafe.
A new kind of early-career opportunity is forming around people who can use AI with customers to solve real business problems. Today that work often starts in engineering as the AI Forward Deployed Engineer role.
This primer is built for fresh grads and early-career professionals who need a plain-language map of the role, the customer problem-solving mindset, and a practical first proof project.
$99 one-time. Self-paced. Certificate issued after completion.
What you get
What it is not
This is not a hiring guarantee, vendor certification, or senior-engineer test. It is a starter map for learning how AI gets applied with customers, beginning with the FDE role.
Why now
Off-the-shelf models are powerful, but customers still need help turning them into useful workflows. That means understanding the job to be done, the data, the constraints, the people involved, and where AI should or should not act.
Embedded, customer-facing work: understand needs, prioritize use cases, explain tradeoffs, tune workflows, and push back when a request is unrealistic or unsafe.
The same pattern will spread beyond engineering: use AI to understand a customer problem, design a better workflow, test it, and help people adopt it.
Career read
For a fresh grad, the hard part is not memorizing one job title. It is learning how to ask good customer questions, break down messy workflows, and show that AI can solve one narrow problem responsibly.
FDE is the first visible version of this pattern in engineering. The same skillset can become valuable in operations, healthcare, finance, education, customer success, and other fields as AI adoption spreads.
Built for new grads and early-career professionals who need language, role clarity, and a credible next artifact before pursuing FDE-style or broader AI-enabled customer work.
Module 1
Video + transcript · 20 min
Understand the real job: working with customers to turn an AI capability into a useful workflow.
Module 2
Reading + static sector cards · 30 min
See why FDE starts in engineering, and why the same customer-with-AI pattern can spread into many professions.
Module 3
Reading + worked examples · 45 min
Practice turning a vague customer request into a small workflow slice, risk list, owner map, and feedback loop.
Module 4
Case study · 30 min
See the shape of a credible early-career project story: customer problem, constraints, prototype, rollout, and proof.
Module 5
Structured intake · 20 min
Generate a practical next-step roadmap for building your first customer-facing AI proof project.