Selective program · Applications open

You can learn AI anywhere. Prove you can deploy it with the AI Deployment Fellowship.

The AI Deployment Fellowship is a client-sponsored two-week AI evaluation sprint. Selected fellows ship a real workflow, receive a stipend, and leave with evidence of how they work.

Want to build proof before you apply? Try a Proof Sprint
No tuition · Fellows receive a stipend · Selection required

The Fellowship evaluates whether you can turn an ambiguous business problem into a useful, responsible AI workflow.

01

Real client work

Ship a scoped workflow for a client-sponsored career-tech or education AI project, with clear boundaries and success criteria.

02

Structured evaluation

Get lead review on problem framing, execution, communication, reliability, and how you respond to feedback.

03

Portfolio evidence

Leave with a sanitized artifact and evaluation summary you can use to explain what you shipped and how you made decisions.

This is a short, selective work evaluation—not a course, credential factory, or promise of a job.

How it works.

Step 1

Submit an application

Tell us what you have built, the tools you use, and how much focused time you can commit to a sprint.

Step 2

Complete a paid calibration exercise

Shortlisted applicants complete a small, time-boxed exercise so both sides can evaluate fit before a client sprint.

Step 3

Ship in a two-week sprint

Selected fellows work against a defined brief, participate in reviews, and deliver a tested handoff with documented decisions.

Build a smaller proof point now with a sign-in-required Proof Sprint while Fellowship applications are reviewed.

Self-paced option

FDE Career Primer — $99

Start while Fellowship applications are reviewed. Learn how AI gets applied with customers, generate a first proof-project roadmap, and claim a completion credential you can share.

Explore the Primer

Questions

Selective program

Apply for the AI Deployment Fellowship

Tell us what you've built and how much time you can commit. Applications are reviewed for each client sprint.

Applying does not guarantee admission, project placement, or employment.