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AI for People Professionals - Practical GenAI, Workflows and Responsible Adoption University of Roehampton

Highlights
Tuition fee
700 GBP / full
700 GBP / full
Unknown
Tuition fee
700 GBP / full
700 GBP / full
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

This AI for People Professionals - Practical GenAI, Workflows and Responsible Adoption course at University of Roehampton is designed for HR, Learning & Development and Organisational Development practitioners who want to build confidence using AI tools in a safe, practical and people-centred way.

Overview

Participants will develop an applied understanding of generative AI, non-generative AI and workflow/agentic approaches, and how these can support day-to-day people work, while also learning how to manage risk, quality, fairness and governance in real organisational settings.

Features

The AI for People Professionals - Practical GenAI, Workflows and Responsible Adoption programme at University of Roehampton is designed for HR, Learning & Development and Organisational Development practitioners is highly interactive and hands-on.

Each session combines short inputs with guided practice using realistic HR/L&D/OD tasks such as drafting and improving communications, structuring policies and guidance, designing learning resources, analysing feedback and planning change activity.

You will learn proven techniques for prompting, verifying outputs and grounding content in trusted organisational sources, as well as how to evaluate "AI-enabled" HR and learning technologies with a clear, practical scorecard. The course also explores how AI is reshaping task design and skill needs, including implications for early-career roles, workforce planning, and reskilling.

Programme Structure

What you will cover:
  • The AI landscape for people work: generative, non-generative and agentic/workflow approaches 
  • Safe and responsible use: confidentiality, data boundaries, bias and quality assurance 
  • Prompting and verification techniques, plus grounding outputs in trusted sources 
  • Practical document, slide and spreadsheet workflows to improve productivity and consistency 
  • The HR/L&D/OD technology landscape (HRIS, ATS, HR service, LMS/LXP, engagement, analytics) and how to assess tools and vendor claims 
  • Work redesign and future skills: task decomposition, role repurposing, early-career pipeline impacts, and reskilling strategies 
  • Governance and policy essentials, including controls for bots and automated workflows 
  • Group project design and prototyping, culminating in a Week 6 showcase and implementation planning

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • London, United Kingdom

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This course is suitable for people professionals working in HR, L&D, OD, talent, people operations and related roles, as well as managers who contribute to people policies, capability building or digital ways of working.
  • No technical background is required, just curiosity and a willingness to experiment and reflect.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    700 GBP / full
    ≈ 700 GBP / full
  • Domestic

    Citizens or residents
    700 GBP / full
    ≈ 700 GBP / full

Funding

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AI for People Professionals - Practical GenAI, Workflows and Responsible Adoption
University of Roehampton
AI for People Professionals - Practical GenAI, Workflows and Responsible Adoption
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University of Roehampton

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