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.
55m
Общее время
4
Уровни компетенций
12
Уроки
Чему вы научитесь
- 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
Программа
Проходите уровни компетенций по порядку.
1
Awareness
- 3mWhat Generative AI Actually DoesЗнания
- 3mStrong Use Cases and Weak Use CasesЗнания
- 7mAwareness Check: What the Tool Is and Is NotОценка
2
Knowledge
- 3mHallucination and Verification DisciplineЗнания
- 3mConfidentiality, Approved Tools and Human AccountabilityЗнания
- 8mKnowledge Check: Failure Modes, Confidentiality and OwnershipОценка
3
Skill
- 3mWriting and Iterating a Good PromptЗнания
- 3mDraft, Ground and Verify a Real Work DocumentЗадание
- 8mSkill Check: Prompting and Grounding in PracticeОценка
4
Mastery
- 3mGoverning AI Use: Bias, Boundaries and AccountabilityЗнания
- 3mSet and Demonstrate AI Ground Rules for Your TeamЗадание
- 8mMastery Check: Judgement and BoundariesОценка
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