For your team · HR and people teams
AI across the employee lifecycle, without outsourcing the decision.
HR carries heavy drafting volume and unusually high stakes: the same output can be read by a candidate, an employee, a manager and a tribunal. The drafting and the analysis are the parts AI can carry. The people decisions are not, and the difference has to be designed in rather than hoped for.
What the work looks like
Not features. The tasks this role actually brings, and what changes about them.
What people finish able to do
Taken from the course itself, not written for this page.
See where AI fits across the full employee lifecycle — recruitment, onboarding, development, administration, and compliance — rather than in one isolated corner of HR.
Apply the PRISM Prompting Framework to core HR tasks and get output you would put in front of a candidate, an employee, or a leadership team.
Check AI-generated HR content for accuracy, fairness, and legal soundness with the TRUST Framework before it goes anywhere near a decision.
Protect employee data and manage bias risk deliberately, using the HR AI Safety Protocol.
Build a structured plan for integrating AI into your HR practice systematically rather than tool by tool.
Keep the judgement calls that must stay human clearly separated from the drafting and analysis AI can carry.
Employee and candidate data is the most sensitive we hold.
Résumés and grievance files are exactly what staff paste into public chatbots when there is no sanctioned alternative — which is the risk this replaces, not one it introduces. Documents stay in the storage you chose, only retrieved passages reach a model, and every access is logged against a named account.
The course written for this role
AI+ HR Professionals
Hire, Develop and Retain Talent with AI
6 modules · 147 lessons · 4h 5m of video
- AI Foundations for HR
- Prompting AI as an HR Professional
- AI for Recruitment and Onboarding
- AI for Development, Performance and Engagement
- AI for HR Administration, Compliance and Ethics
- Your 30-Day HR AI Adoption Plan
5 courses written for this work
The lead course above, and the rest of the library for this cluster. Each has its own curriculum, its own assessment and its own certificate.
AI+ L&D ProfessionalsDesign Learning That Sticks with AI6 modules · 101 lessons
AI+ RecruitersSource, Screen and Hire Smarter with AI6 modules · 100 lessons
AI+ for People ManagementHire, Develop and Lead Your Team with AI6 modules · 93 lessons
AI+ HR LeadersShape the AI-Ready Workforce6 modules · 89 lessons
What this role asks
Taken from the courses themselves. These are the questions the people who wrote them kept being asked.
Do I need prior AI experience for this course?
No. It is written for HR professionals whether AI is entirely new to your practice or you have been experimenting for a while. The frameworks are taught from the ground up.
Is this only relevant to large HR teams?
No. It is written for organisations of 50 employees or 50,000, across private sector, public sector, and not-for-profit, and for generalist and specialist roles alike.
Is it safe to use AI with employee data?
Only with deliberate controls, which is why the HR AI Safety Protocol is a core part of the course. It covers what must never enter a prompt, how to handle personal and sensitive employee information, and where the risk actually sits.
Won't AI introduce bias into recruitment and performance decisions?
It can, and the course treats bias risk as a first-order concern rather than a footnote. You learn to evaluate AI-generated content for fairness and legal soundness before it influences any decision about a person.
Which parts of HR work should stay human?
The course draws that line explicitly. AI supports drafting, structuring, and analysis; the decisions about people, and accountability for them, stay with the HR professional.
How do I move from experimenting to using AI consistently?
The final part of the course builds a structured integration plan for your own practice, so AI use becomes systematic across the lifecycle rather than occasional and ad hoc.
A pilot runs on your own documents, with the people who would actually use it, and the reporting comes back to whoever has to answer for it.