Course · 10 chapters
People Ops, Reimagined
Use AI across the HR lifecycle: onboarding, performance, survey insights, policy drafting, internal mobility, and compliant recruiting. Practitioner course, 10 chapters, no coding.
What you'll be able to do
- Draft onboarding paths with AI
- Surface sentiment and risk from surveys
- Write calibration-ready review language
- Run internal mobility talent matching
- Build defensible compensation bands
- Set EU AI Act recruiting guardrails
What's inside
- 1AI for HR: Start Here
Orient to the AI for HR stack — where AI helps, where guardrails matter, and where to begin
- 2Onboarding & Internal Comms
Welcome bots, personalized onboarding paths, and tone-matched internal communications
- 3Performance & Feedback with AI
360 synthesis, calibration support, feedback language, and OKR tracking
- 4Employee Insights from Surveys
Theme extraction, sentiment beyond positive/negative, and risk signals
- 5Policy & Handbook Drafting
AI drafts, legal verifies — policy templates, localization, and compliance
- 6Coding-Lite for HR
Build feedback-loop systems for JD bias scoring, exit themes, and headcount tracking — no terminal required
- 7Adopt Anthropos in HR
Skills mapping, verification with AI Simulations, and upskilling with Skill Paths — the platform loop for HR leaders
- 8Internal Mobility and Talent Matching
Person-to-role and role-to-person matching at scale — surfacing opportunities employees never knew existed
- 9Compensation Benchmarking with AI
Market data, internal equity, and comp-band signals — making defensible pay decisions at scale
- 10Recruiting with AI Guardrails
Recruiting is the highest-risk AI use case in HR — the regulators have said so explicitly (EU AI Act Article 6 + Annex III §4(a); Illinois HB 3773 effective Jan 1 2026; EEOC Title VII liability). Master the doctrine (AI as triage layer, not gatekeeper), the 4 named guardrails (audit the dataset, blind protected variables, quarterly diverse calibration panel, human decision-maker with documented rationale), and the audit trail that an auditor or plaintiff's counsel expects to see — mapped to Articles 13, 14, 15, 26, 27 of the EU AI Act and the EEOC's 2023 technical assistance
Frequently asked questions
- What will I learn in this AI for HR course?
- You learn to apply AI across the HR lifecycle: onboarding and internal comms, 360 feedback and calibration, survey theme and sentiment analysis, policy and handbook drafting, internal mobility matching, compensation benchmarking, and compliant recruiting. The course runs 10 chapters totaling about 3.5 hours.
- Who is this course for?
- It is built for HR and people operations practitioners: recruiters, HR business partners, and HR leaders who want to use AI as a decision-support partner. It assumes you work in HR but assumes no AI or technical background.
- Do I need to know how to code?
- No. The Coding-Lite for HR chapter shows you how to build feedback-loop systems for job-description bias scoring, exit themes, and headcount tracking with no terminal required. Every other chapter is non-technical.
- How does the course handle AI recruiting compliance?
- A dedicated chapter treats recruiting as the highest-risk HR use of AI. It covers four named guardrails (audit the dataset, blind protected variables, run a quarterly diverse calibration panel, keep a human decision-maker with documented rationale) mapped to the EU AI Act and the EEOC 2023 technical assistance, plus the audit trail an auditor expects.
- Is this course free?
- No, it is a paid practitioner-level course. It includes 10 chapters covering the full HR AI workflow, from onboarding and surveys to internal mobility, compensation, and recruiting guardrails.
Earn a certificate
Complete all chapters to receive your certificate of completion.