AI for HR & People Teams
Use AI to support HR administration and employee development while preserving fairness, confidentiality and human responsibility.
15 lessons. A practical outcome.
Open a lesson to see what your team will learn.
01AI Opportunities Across the Employee Journey
Map recruitment, onboarding, development and administration. Distinguish useful assistance from consequential decisions that require authorised human judgment.
02HR Data & Safe Working Practices
Identify sensitive employee and candidate information. Practise using synthetic data and approved tools, and recognise when access or permission is missing.
03Writing Clear Job Descriptions
Draft role descriptions from validated responsibilities and competencies. Review for inclusive language, realistic requirements and unsupported promises.
04Recruitment Administration & Evidence Organisation
Extract job-relevant facts from fictional applications into a traceable summary. Check omissions and errors; avoid automatic ranking, rejection or inferred personal traits.
05Structured Interview Preparation
Build consistent, role-related questions and evidence prompts. Define an evaluation framework that people can review and explain.
06Candidate Communication & Experience
Draft acknowledgements, scheduling messages and feedback templates. Check facts, tone and approved wording, and keep consequential communications human-approved.
07Onboarding With AI
Create role-specific onboarding plans, FAQs and practice tasks from approved material. Identify the manager, buddy and support contact responsible for each step.
08Internal HR Knowledge Assistants
Explore answering policy questions from authorised documents. Include source references, access boundaries and escalation when a policy is unclear or absent.
09Skills & Competency Mapping
Translate role tasks into observable skills and proficiency descriptions. Validate the map with employees and managers rather than treating generated labels as fact.
10Personalised Employee Development
Build learning pathways from agreed goals and demonstrated needs. Offer practice, feedback and follow-up while allowing employees to challenge inaccurate assumptions.
11Preparing Feedback & Coaching Conversations
Use fictional cases to rehearse specific, respectful feedback. Distinguish observations from interpretations and keep performance judgments with responsible managers.
12Employee Surveys & Qualitative Themes
Analyse synthetic or suitably approved survey comments for themes. Check representativeness and avoid re-identifying respondents from small groups or distinctive details.
13HR Reporting & Communication
Prepare checked summaries and internal explanations. Verify denominators, trends and sensitive details before circulation to authorised readers.
14Designing Fair & Accountable HR Workflows
Document review, access, escalation and employee challenge mechanisms. Practise identifying cases where AI support should stop and a specialist should take over.
15Final Challenge: Build an AI-Assisted Onboarding Programme
Design a 30-day onboarding pathway for a fictional role, including a checked policy FAQ, skills plan, practice activities and manager review points.
Leave with something
you can use.
- 30-day onboarding pathway
- source-based FAQ
- competency map
- HR workflow review checklist
What the review looks for
The final challenge brings the course together through practical work and review.
A path built around progress.
- 01
Lesson
Understand the concept.
- 02
Exercise
Practise with guidance.
- 03
Task
Apply it yourself.
- 04
Review
Reflect and improve.
Practical skills.
A certificate to show it.
Complete the assigned learning, submit the practical challenge and meet the agreed review requirements. Recognise that achievement with a certificate of completion.
Your programme brief confirms the requirements, reviewer and certificate delivery before you begin.
About certificatesCERTIFICATE OF COMPLETION
Learning worth
recognising.
AI Literacy for Everyone
Learner name · Completion date · Course title
AI Tutor