Talent + workplace deep dive
Build better people systems without losing the human judgment.
Use AI across recruiting, onboarding, policy, learning, employee experience, workforce questions, and sensitive people decisions.
Start with the limited free experience. No technical background required.
What you will practice
Applied from the beginning.
- Create consistent recruiting, onboarding, and policy workflows.
- Synthesize employee signals while protecting privacy and context.
- Design human review into sensitive or consequential decisions.
What becomes visible
Capability you can show.
- 01More consistent employee and candidate experiences.
- 02Reusable people operations that remain reviewable.
- 03Clear evidence of responsible AI use in human work.
Reference builds
See what you will build here.
5 exemplar repositories anchor this path. Each one is designed as a working demo, a template you can adapt, and a reference for your own capstone.
- job-description-calibrator01
Drafts a role description from a structured brief and flags biased or exclusionary wording for human revision. The draft is the start; your judgment finishes it.
- interview-notes-to-feedback02
Summarizes an interview transcript into an editable feedback form where every claim ties to a source excerpt. Anything the transcript cannot back gets caught, not published.
- new-hire-launchpad03
Coordinates welcome messages, access requests, training, policy acknowledgements, and first-week check-ins from one checklist. Onboarding stops living in one inbox.
- review-cycle-coordinator04
Schedules reviews, chases missing feedback, standardizes deadlines, and builds a manager prep packet. The cycle runs on a system instead of reminders.
- manager-conversation-rehearsal05
Private role-play practice for a difficult feedback conversation, ending in a prep-notes summary. It rehearses the conversation with you; it never scores the person.
Part of the exemplar roadmap. Repos and demos are added as they ship.