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

Competency levels

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.

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

Knowledge

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

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

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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