Learn how AI responsibly accelerates recruitment with inclusive job descriptions, sourcing strategies, and bias-aware interview questions.

How AI is changing recruitment

Explore AI use cases in recruitment

Ethical risk

Rank recruitment scenarios by ethical risk

Writing fair job descriptions with AI

Flag the bias

Draft and refine a job description

Building rubrics and interview questions with AI

Build a rubric iteratively

Build your recruitment rubric

AI in Recruitment: Faster and Fairer

Discover how AI strengthens workforce planning, onboarding, and compliance. You’ll work with HR data, and create skill roadmaps that prepare your team for the future. Along the way, you’ll see how AI supports HR decision-making while safeguarding employee privacy.

Strategic workforce planning with AI

Find future skill trends

Forecast team skill gaps

Using AI for compliance reviews

Identify the red flag

Scan a vendor policy for compliance risks

Analyzing HR data with care

Classify HR analytics prompts

Analyze engagement trends with AI

Turning HR insights into action

Design an engagement action plan with AI

Sequence an AI-assisted HR initiative

Enhancing People Operations with AI

Explore how AI agents can help HR scale consistent support, while introducing new responsibilities around trust, boundaries, and ongoing ownership. You’ll learn when agents are the right tool, how employee-facing AI changes risk, and what HR must do after systems go live. This chapter focuses on practical, real-world stewardship: building agents thoughtfully, testing their behavior, and operating them responsibly over time.

Understanding Agents

Classify tasks by AI approach

Build your first custom agent

Using AI Agents with employees

Test your agent with edge cases

Sort employee questions by escalation need

Refine an employee-facing Agent

Operating AI systems after launch

Diagnose agent drift symptoms

Create operational controls

Congratulations!

Scaling HR Support with AI Agents

AI is reshaping HR, making recruiting faster, people operations smarter, and workflows more efficient. In this course, you’ll learn to write inclusive job descriptions, build fair interview rubrics, and streamline onboarding with AI-powered assistants like Copilot. You’ll also explore compliance reviews, workforce analytics, and responsible automation using guardrails. By the end, you’ll be ready to apply AI to HR tasks with confidence, speed, and fairness.

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

<h2>Accelerate Recruitment with AI</h2> Discover how AI can speed up and improve hiring. You'll learn to draft inclusive job descriptions that flag biased language, prompt AI to suggest fair salary ranges, and build structured rubrics and behavior-based interview questions that reduce bias and increase consistency.<br><br> <h2>Strengthen People Operations</h2> Explore how AI supports core HR processes — from identifying emerging roles and skills gaps in workforce planning, to scanning contracts and policies for compliance risks, analyzing engagement surveys and exit interviews for trends, and turning those insights into targeted action plans with clear metrics.<br><br> <h2>Build and Manage AI Agents</h2> Learn to design AI agents that handle recurring HR tasks like answering policy questions, supporting onboarding, and guiding career exploration. You'll set clear boundaries and escalation paths, run post-launch reviews to catch drift, and apply a structured framework for maintaining agents over time.<br><br> <h2>Apply AI Responsibly Across HR</h2> By the end, you'll be ready to apply AI responsibly across recruitment, people operations, and automation — boosting efficiency while keeping humans in the loop, protecting employee privacy, and maintaining transparency at every step.

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

AI for Human Resources

Flag the bias

AI for Human Resources

Ejercicio interactivo práctico