Training Package

People Professionals And Artificial Intelligence Ai

🎬 Contains Videos

Gain a clear understanding of what AI and automation mean in a workplace, and how AI differs from rule-based automation. You’ll explore the types most relevant to people practice—generative AI, predictive analytics, and natural language processing (NLP)—and see everyday examples such as chatbots, CV-screening and automated onboarding. The course covers common HR applications across recruitment, onboarding, learning, performance and administration, including how these can improve efficiency, enable personalised experiences and reduce admin. You’ll also examine ethical and legal considerations, including bias, transparency, data protection and accountability, and consider likely impacts on jobs, required skills and change management. Practical skills are included, such as prompt writing, using AI as a co-pilot, reviewing outputs with appropriate human oversight, and applying responsible governance through pilot testing to help you adopt AI safely and effectively in your role.

£5.00 per learner

Learning outcomes

By completing this package, learners can:

Define key terms and concepts related to artificial intelligence and automation in a workplace context, including machine learning, generative AI, natural language processing, algorithms, models and prompts, and distinguish these from rule-based automation
Explain common AI applications in people practice by classifying examples across recruitment, onboarding, learning and development, performance management, employee relations and HR administration, and summarise the primary benefits and risks for each area
Apply prompt-writing and basic operational techniques to generate, review and refine AI-produced HR outputs (for example job descriptions, policy drafts or learning materials), demonstrating appropriate human oversight and quality checks
Analyse the limitations and technical risks of AI tools in HR—such as hallucinations, data quality issues, bias and privacy concerns—by examining real or hypothetical examples and identifying potential failure points
Assess the ethical implications of AI use in people practice by critiquing cases for fairness, transparency, accountability and trust, and judging the potential for algorithmic bias or discriminatory outcomes
Explain legal and regulatory considerations relevant to AI in HR, including UK GDPR requirements, automated decision-making rights, equality legislation and employer responsibilities, and interpret how these influence acceptable use and documentation
Evaluate the likely impact of AI on jobs, skills and the employee experience by appraising scenarios of job redesign, workforce transition, reskilling needs and employee perceptions, and justify HR interventions to support change
Develop (create) a practical, accountable implementation plan for introducing an AI tool in a people function that includes governance contro

What’s included

A deployable SCORM package with practical learning content, ready for your LMS.

How it works

Add access, upload the package to your LMS, and pay per learner who uses it.

Who it’s for

Organisations deploying flexible workplace learning through an LMS.