Practical GenAI in People & HR

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About Course

Four live sessions, 15 hours, on your own people data. You leave with an HR AI Operating System — hiring, L&D, pay-equity and engagement — inside EU AI Act-aware, PDPL-compliant guardrails.

What you’ll be able to do

  • Build an HR AI operating model and maturity diagnostic
  • Design bias-controlled hiring stacks
  • Orchestrate skills-based learning pathways
  • Calibrate compensation and scan pay equity
  • Generate performance-coaching narratives
  • Deploy engagement, DEI and ER intelligence
  • Govern HR AI under EU AI Act risk tiers
  • Defend an integrated HR AI Operating System

Format: 4 weeks · ~4 hrs live + self · Live online · Fridays Cairo · Mentor + take-home rubric.

Course Content

Start here · Welcome & orientation
How your People & HR cohort works — schedule, support, and what you'll ship.

Week 1 · Foundations + workforce planning
Stand up your HR co-pilot, maturity diagnostic, risk register and a localisation-aware workforce plan.

Week 2 · Talent acquisition + onboarding & L&D
Build bias-controlled hiring stacks for three roles, plus onboarding and learning pathways.

Week 3 · Performance + compensation
Generate performance-coaching narratives and run a compensation-equity audit with band calibration.

Week 4 · Engagement, DEI, ER + governance capstone
Deploy engagement, DEI and ER intelligence, then defend your HR AI Operating System and governance framework.

Capstone · HR AI Operating System
Your capstone runs on your own people data. Build an HR AI Operating System inside EU AI Act-aware, PDPL-compliant guardrails. Eight components plus a governance framework, scaffolded on the MHCG (Masar Human Capital Group) case — synthetic data only.

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