Most AI recruiting courses hand you a list of a thousand tools. This one hands you a pipeline.
You take a single open role from intake meeting to signed offer using AI at every step — writing the job profile, sourcing a longlist, screening several hundred resumes, ranking a shortlist you can defend, running structured interviews, automating the handoffs, and reporting the result. Every lab runs on the same 500-resume dataset, so nothing is theoretical.
By the end you will have a job blueprint, a scorecard, a sourcing prompt library, a screened shortlist, an interview loop, a configured pipeline, a weekly dashboard and an AI hiring risk register. Those are artefacts, not notes.
Start Module 1, Lesson 1 See a real run first
Short on time? Three paths through it
| Path | Length | For |
|---|---|---|
| Founder | 12 lessons, ~2h | Hiring without a recruiting function |
| Agency & staffing | 13 lessons, ~3h | High requisition volume across clients |
| Compliance & HR leadership | 14 lessons, ~2.5h | Accountable for AI in hiring without operating it |
Who this is for
- Recruiters and talent acquisition specialists who have been told to "use AI" and want a method rather than a tool list.
- Agency and staffing recruiters carrying high requisition volume.
- Founders and hiring managers hiring without a recruiting function.
- Anyone responsible for AI hiring compliance who needs to know what the tools actually do.
What it does not cover
Executive search, campus hiring at scale, or building your own models. It teaches one repeatable pipeline for professional hiring, in depth, with tools that exist today. The emphasis is on the decisions — what to weight, what to check, what never to automate — rather than on any single interface.