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Working Effectively with Generative AI

A practical, vendor-neutral guide to using generative AI assistants at work: what these models actually do, where they help, how they fail, and the prompting, verification, confidentiality and accountability habits that make the output safe to use.

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55m
Total time
4
Competency levels
12
Lessons

What you'll learn

  • Explain in plain terms what a large language model does and why fluent output is not verified output
  • Distinguish strong use cases (drafting, summarising, restructuring, explaining, brainstorming, code and formula help) from weak ones
  • Recognise hallucination as the default failure mode and apply a verification routine to every number, quote and reference
  • Write and iterate structured prompts using role, context, task, constraints, format and examples
  • Protect confidential, personal and commercial information by using only approved tools and safe inputs
  • Keep human accountability intact and identify decisions generative AI must never make

Curriculum

Progress through each competency level in order.

1

Awareness

  • What Generative AI Actually Does
    Knowledge
    3m
  • Strong Use Cases and Weak Use Cases
    Knowledge
    3m
  • Awareness Check: What the Tool Is and Is Not
    Assessment
    7m
2

Knowledge

  • Hallucination and Verification Discipline
    Knowledge
    3m
  • Confidentiality, Approved Tools and Human Accountability
    Knowledge
    3m
  • Knowledge Check: Failure Modes, Confidentiality and Ownership
    Assessment
    8m
3

Skill

  • Writing and Iterating a Good Prompt
    Knowledge
    3m
  • Draft, Ground and Verify a Real Work Document
    Assignment
    3m
  • Skill Check: Prompting and Grounding in Practice
    Assessment
    8m
4

Mastery

  • Governing AI Use: Bias, Boundaries and Accountability
    Knowledge
    3m
  • Set and Demonstrate AI Ground Rules for Your Team
    Assignment
    3m
  • Mastery Check: Judgement and Boundaries
    Assessment
    8m

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