Course · 10 chapters

People Ops, neu gedacht

Use AI across the HR lifecycle: onboarding, performance, survey insights, policy drafting, internal mobility, and compliant recruiting. Practitioner course, 10 chapters, no coding.

Paidpractitioner10 chapters213 minEnglish + 6 languagesCertificate on completion

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

  1. 1
    KI für HR: Hier starten

    Orientierung im KI-für-HR-Stack — wo KI hilft, wo Leitplanken wichtig sind und wo du anfangen solltest

    12 min
  2. 2
    Onboarding & Interne Kommunikation

    Willkommens-Bots, personalisierte Onboarding-Pfade und kulturell abgestimmte interne Kommunikation

    20 min
  3. 3
    Performance & Feedback mit KI

    360-Synthese, Kalibrierungsunterstützung, Feedback-Sprache und OKR-Tracking

    20 min
  4. 4
    Mitarbeiter-Insights aus Umfragen

    Themenextraktion, Stimmungsanalyse jenseits von positiv/negativ und Risikosignale

    20 min
  5. 5
    Richtlinien & Handbuch erstellen

    KI entwirft, die Rechtsabteilung prüft — Policy-Vorlagen, Lokalisierung und Compliance

    20 min
  6. 6
    Coding-Lite für HR

    Baue Feedback-Loop-Systeme für JD-Bias-Scoring, Exit-Themen und Headcount-Tracking — kein Terminal erforderlich

    20 min
  7. 7
    Anthropos im HR einsetzen

    Skills Mapping, Verifizierung mit AI Simulations, Upskilling mit Skill Paths — und der Kreislauf, der alles verbindet

    28 min
  8. 8
    Interne Mobilität und Talent Matching mit KI

    Person-zu-Rolle und Rolle-zu-Person Matching im großen Maßstab — Fluktuation reduzieren, indem Chancen sichtbar werden, von denen Mitarbeitende nie wussten, dass sie existieren

    25 min
  9. 9
    Vergütungs-Benchmarking mit KI

    Marktdaten, interne Gerechtigkeit und Gehaltsband-Signale — fundierte Vergütungsentscheidungen im großen Maßstab treffen

    22 min
  10. 10
    KI-gestütztes Recruiting

    Schnellere Einstellungen, bessere Stellenbeschreibungen, breitere Talentpools — mit den Leitplanken, die Fairness sichern

    26 min

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.