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.
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 PrimerQuestions
Part of a bigger toolkit.
Strengthen your application with a focused proof project, clearer positioning, and a grounded career plan.
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.