Generative AI: Advance Your Human Resources Course

Lesson 1 • Core Capabilities Relevant to HR Work

Surveys generative AI capabilities most applicable to HR tasks. Connects each capability to a concrete HR use case.

Lesson 2 • Limitations, Risks, and Misconceptions

Addresses hallucinations, bias, and data privacy risks specific to HR contexts. Sets realistic expectations before applying AI to real tasks.

Lesson 3 • The HR Technology Landscape Today

Maps where generative AI fits within existing HR tech stacks. Helps learners identify integration points without replacing current systems.

Lesson 1 • Prompt Patterns for Common HR Outputs

Introduces reusable prompt templates for frequent HR deliverables. Reduces time-to-output for routine writing tasks.

Lesson 2 • Quality Control and Prompt Refinement

Establishes a review process for AI-generated HR content. Ensures outputs meet accuracy, compliance, and tone standards before use.

Lesson 3 • Anatomy of an Effective Prompt

Breaks down the components of a well-structured prompt. Teaches learners to control output quality through deliberate prompt design.

Lesson 1 • Measuring Recruiting Outcomes with AI

Uses AI to analyse recruiting funnel data and surface actionable insights. Connects AI-assisted hiring to measurable talent acquisition metrics.

Lesson 2 • Interview Preparation and Structured Questioning

Generates competency-based interview guides and evaluation rubrics using AI. Improves interview consistency and legal defensibility.

Lesson 3 • Writing Inclusive Job Descriptions with AI

Uses AI to draft, audit, and optimise job postings for clarity and inclusion. Directly reduces bias in the first candidate touchpoint.

Lesson 4 • AI-Assisted Candidate Sourcing and Screening

Uses AI to build sourcing messages and screen applicant materials efficiently. Maintains human oversight to prevent discriminatory filtering.

Lesson 1 • Building AI-Powered Onboarding Content

Creates onboarding guides, FAQs, and checklists using generative AI. Reduces new-hire time-to-productivity through consistent, personalised content.

Lesson 2 • AI Chatbots for Employee Self-Service

Configures conversational AI to handle routine HR inquiries autonomously. Frees HR staff for higher-value work while improving response times.

Lesson 3 • Employee Feedback and Sentiment Analysis

Applies AI to analyse survey responses, pulse data, and open-text feedback. Surfaces themes and risks faster than manual review allows.

Lesson 1 • Performance Improvement Plans and Documentation

Creates structured PIPs and supporting documentation with AI assistance. Ensures consistency and legal defensibility in corrective action processes.

Lesson 2 • Continuous Feedback and Coaching Support

Uses AI to help managers write specific, actionable feedback in real time. Builds a coaching culture by lowering the barrier to quality feedback.

Lesson 3 • AI-Assisted Goal Setting and OKRs

Generates SMART goals and OKR drafts aligned to organisational strategy. Reduces manager inconsistency in goal quality across teams.

Lesson 1 • Compliance Training Content Creation

Produces scenario-based compliance training scripts and assessments using AI. Reduces content development time while maintaining regulatory accuracy.

Lesson 2 • HR Investigations and Documentation Support

Uses AI to structure investigation plans, interview guides, and summary reports. Maintains objectivity and thoroughness in sensitive HR matters.

Lesson 3 • Employee Handbook Development

Builds comprehensive, readable employee handbooks using AI-generated content. Ensures consistent tone and completeness across all handbook sections.

Lesson 1 • Predictive Insights for Workforce Planning

Applies AI to model workforce scenarios and support strategic planning decisions. Links people analytics outputs to business strategy and budget cycles.

Lesson 2 • Preparing HR Data for AI Analysis

Covers data cleaning, structuring, and anonymisation before AI processing. Prevents flawed inputs from producing misleading workforce insights.

Lesson 3 • Workforce Trend Analysis with AI

Uses AI to identify patterns in turnover, engagement, and headcount data. Converts descriptive data into predictive and prescriptive insights.

Lesson 1 • Building an HR AI Governance Framework

Designs policies, roles, and review processes for governing AI use in HR. Creates organisational accountability structures that scale with AI adoption.

Lesson 2 • Regulatory Awareness and Compliance Readiness

Surveys emerging regulatory requirements for AI in employment decisions globally. Prepares HR teams to adapt governance practices as regulations evolve.

Lesson 3 • Communicating AI Use to Employees

Develops transparent communication strategies for AI-assisted HR decisions. Builds employee trust by explaining what AI does and does not decide.

Lesson 4 • Bias Detection and Mitigation

Identifies sources of algorithmic and data bias in HR AI applications. Implements practical mitigation steps before and after AI deployment.