AI Fluency — Claude Cert Academy

Read and write with AI — fluently, not anxiously.

A program for knowledge workers who already use AI for drafting, summarizing, and thinking — and want to get much better at it without learning to code. Five modules covering the four pillars of fluency: Recognition, Judgement, Collaboration, and Delegation.

What you'll learn

• Identify when AI output is likely reliable versus when it needs verification.
• Apply a risk calibration framework to decide how deeply to check any AI output.
• Write prompts that give Claude enough context to return a genuinely useful answer.
• Steer a conversation iteratively until you get the output you actually need.
• Decide what tasks to automate, supervise, or keep entirely human.

Course content

01. Foundations

• How language models actually work — the honest mental model
• What Claude can do — and what it cannot do by default
• The conversation as a workspace: system prompt, turns, context window
• The four pillars of fluency — what each one changes in practice
• Your current AI use — an honest audit

02. Recognition

• What AI is actually good at: synthesis, drafting, pattern-completion
• What AI merely looks good at: the anatomy of a confident wrong answer
• Reading AI output critically — the surface tells
• Recognition in context: domain-specific failure modes
• The recognition filter — a decision framework for evaluating AI output

03. Judgement

• The verification reflex — why it doesn't come naturally and how to build it
• High-stakes vs. low-stakes outputs: a risk calibration framework
• Spotting hallucination before it embarrasses you
• The second-draft test: three questions before you forward anything
• Building your personal verification checklist

04. Collaboration

• The anatomy of a good prompt: role, context, task, format
• Providing context: what to tell Claude before asking
• Iteration: how to steer when the first answer isn't right
• Working with long documents: placement, structure, Q&A patterns
• The conversation as a draft: when to keep pushing

05. Delegation

• The delegation decision framework: automate, supervise, or keep
• What to keep for yourself: judgment calls AI shouldn't make
• Supervising AI work: staying meaningfully in the loop
• Building your personal delegation map
• The fluent workflow: putting all four pillars together

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