Skill Readiness

Learning Centre

Practical guides for workplace capability.

Concise education pages that support assessments, growth plans, and capability development across teams.

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AI readiness

Practical guides for employees and teams learning how to use AI safely, clearly, and with better judgement at work.

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Areas covered

AI Foundations

Build the mental models needed to use AI without over-trusting fluent output.

What generative AI can and cannot do Search, retrieval, and generation Low-risk AI use cases Human accountability with AI

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Task Fit & Everyday Use

Decide when AI is useful, when it needs review, and when it should not be used.

Augmentation vs automation Reviewing AI summaries and drafts

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Prompting & Grounding

Give AI enough context, source material, and success criteria to produce useful drafts.

Prompting with context Grounding AI in approved sources Prompt iteration and reusable templates

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Evaluation & Human Judgement

Check facts, assumptions, uncertainty, omissions, and risk before relying on AI output.

Checking AI output reliability Trusted sources and unsupported claims Handling uncertainty and high-stakes AI

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Data, Security & Governance

Handle sensitive data, access, plug-ins, phishing risk, and incident reporting responsibly.

Sensitive data and approved tools AI permissions, plug-ins, and integrations AI phishing and social engineering Incident response for AI data disclosure

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Responsible Adoption & Workflow Design

Design AI-assisted workflows with clear boundaries, oversight, transparency, and scale decisions.

Responsible AI workflow design Human oversight and transparency Measuring AI workflow success Keeping AI capability current

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