The four pillars of professional AI fluency are commonly described as: — AI Fluency Practice — Claude Cert Academy
The four pillars of professional AI fluency are commonly described as:
- Speed, accuracy, creativity, and cost control
- Prompting, verification, automation, and reporting
- Foundations, Recognition, Judgement, and Delegation
- Reading, writing, coding, and analysis
Answer: Foundations, Recognition, Judgement, and Delegation
The four pillars framework covers: understanding how AI works (Foundations), evaluating outputs (Recognition), calibrating risk (Judgement), and deciding what to hand off (Delegation).
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