People Ops, Reimagined

Modalità
Online
Lingua
en
Livello
practitioner

Il corso

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

Identità del corso

Materie

AI for HR, AI for human resources course, AI recruiting compliance, EU AI Act recruiting, AI for people operations, HR survey sentiment analysis with AI, AI performance feedback and calibration, internal mobility and talent matching, compensation benchmarking with AI, AI policy and handbook drafting

Livello

practitioner

Lingua

en

Programma e obiettivi

Obiettivi
  • Draft personalized onboarding paths and tone-matched internal comms with AI
  • Synthesize 360 feedback and write calibration-ready performance language
  • Extract themes, sentiment, and risk signals from employee surveys
  • Draft and localize policies and handbooks for legal review
  • Set recruiting guardrails mapped to the EU AI Act and EEOC technical assistance
  • Run person-to-role and role-to-person internal mobility matching
  • Build defensible compensation bands from market and internal-equity data
Programma
  • Url: https://aiacademy.anthropos.work/chapters/hr-ai-intro/ · AI for HR: Start Here · Position: 1 · Orient to the AI for HR stack — where AI helps, where guardrails matter, and where to begin
  • Url: https://aiacademy.anthropos.work/chapters/hr-onboarding-comms/ · Onboarding & Internal Comms · Position: 2 · Welcome bots, personalized onboarding paths, and tone-matched internal communications
  • Url: https://aiacademy.anthropos.work/chapters/hr-performance-feedback/ · Performance & Feedback with AI · Position: 3 · 360 synthesis, calibration support, feedback language, and OKR tracking
  • Url: https://aiacademy.anthropos.work/chapters/hr-employee-insights/ · Employee Insights from Surveys · Position: 4 · Theme extraction, sentiment beyond positive/negative, and risk signals
  • Url: https://aiacademy.anthropos.work/chapters/hr-policy-handbook/ · Policy & Handbook Drafting · Position: 5 · AI drafts, legal verifies — policy templates, localization, and compliance
  • Url: https://aiacademy.anthropos.work/chapters/coding-lite-for-hr/ · Coding-Lite for HR · Position: 6 · Build feedback-loop systems for JD bias scoring, exit themes, and headcount tracking — no terminal required
  • Url: https://aiacademy.anthropos.work/chapters/adopt-anthropos-in-hr/ · Adopt Anthropos in HR · Position: 7 · Skills mapping, verification with AI Simulations, and upskilling with Skill Paths — the platform loop for HR leaders
  • Url: https://aiacademy.anthropos.work/chapters/internal-mobility-talent-matching/ · Internal Mobility and Talent Matching · Position: 8 · Person-to-role and role-to-person matching at scale — surfacing opportunities employees never knew existed
  • Url: https://aiacademy.anthropos.work/chapters/compensation-benchmarking-with-ai/ · Compensation Benchmarking with AI · Position: 9 · Market data, internal equity, and comp-band signals — making defensible pay decisions at scale
  • Url: https://aiacademy.anthropos.work/chapters/hr-recruiting-guardrails/ · Recruiting with AI Guardrails · Position: 10 · 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
Competenze acquisite
  • Draft personalized onboarding paths and tone-matched internal comms with AI
  • Synthesize 360 feedback and write calibration-ready performance language
  • Extract themes, sentiment, and risk signals from employee surveys
  • Draft and localize policies and handbooks for legal review
  • Set recruiting guardrails mapped to the EU AI Act and EEOC technical assistance
  • Run person-to-role and role-to-person internal mobility matching
  • Build defensible compensation bands from market and internal-equity data
A chi si rivolge

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.

Edizioni

Edizioni

Course Mode: online · Course Workload: PT213M · Mode: online

Corsi simili

  • Deep Learning

    A decision-framework deep learning course for engineers. Choose PyTorch vs TensorFlow, judge depth vs classical ML, weigh transfer learning, and reason about CNNs. 7 chapters.

    Prezzo su richiestaScopri
  • AI Foundations

    Use ChatGPT, Claude, and Gemini with confidence at work: learn the vocabulary, how models work, when to verify them, and reusable prompts. 8 chapters, foundations level.

    Prezzo su richiestaScopri
  • AI Engineering Foundations

    Ship AI features to production: prompting, RAG, structured outputs, fine-tuning, and inference tuning. Hands-on, free, 12 chapters (~4.3h) for engineers.

    Prezzo su richiestaScopri
  • Power Platform AI

    Ship AI inside Microsoft Power Platform: AI Builder, Power Apps and Power BI Copilot, Dataverse agents, plus DLP governance. 6 chapters, ~2h, practitioner level.

    Prezzo su richiestaScopri
  • AI Coding for Beginners

    Build real software with AI without writing code: custom assistants, AI agents, dashboards, and clickable prototypes. Hands-on with Claude Code, ChatGPT, and Lovable. 7 chapters…

    Prezzo su richiestaScopri
  • What Are AI Agents?

    Understand how tools, memory, and goals turn a chatbot into an AI agent that does work, why agents fail, and how to direct them. No code. 6 chapters, ~95 min, no experience needed.

    Prezzo su richiestaScopri
  • On-Device & Edge AI

    Run AI directly on a phone or Mac with no cloud round-trip. Build with Apple Foundation Models, Gemini Nano, and MLX across 4 advanced chapters for app engineers.

    Prezzo su richiestaScopri
  • Copilot Studio

    Build and ship custom AI agents in Microsoft Copilot Studio: topics, RAG knowledge sources, connectors, actions, and DLP governance. 4 chapters, practitioner level.

    Prezzo su richiestaScopri