← ExitAI Fluency Foundations
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Pathway · Getting Ready to Work with AI·2 of 6

AI Fluency Foundations

The vocabulary, the limits, the responsibilities. The canon-aligned start of AI work.

Time
~3 hr
Lessons
9
Exercises
9
Level
Foundation

What you'll learn

  • Use the AI vocabulary precisely: differentiate AI from ML from deep learning from generative AI from LLMs from agents.
  • Describe what AI can and cannot do today, including hallucination, bias, drift, and other failure modes.
  • Apply the six canonical responsible-AI principles to your own work: fairness, transparency, accountability, privacy, safety, human oversight.
  • Use the Anthropic 4D framework as a working method: decide what to delegate, describe intent precisely, discern output quality, take diligence on the result.
  • Make a defensible judgment call on whether to use AI for a given task, with the criteria the canon agrees on.
  • Name your role and your organization's role under EU AI Act Article 4 and NIST AI RMF GOVERN, and find your employer's AI policy.
  • Produce a personal AI Fluency Playbook (3 to 5 pages) you keep and reuse: vocabulary glossary, delegation matrix, responsible-AI commitments, risk-and-limits checklist, role-and-policy worksheet.

Description

If you are working with AI in 2026 you need a shared vocabulary, a working sense of what AI can and cannot do, and a clear view of your own responsibilities. This module gives you all three in one place, aligned to the canon every credentialing body has converged on.

Eight topics. (1) AI / ML / Deep Learning / Generative AI / LLMs / Agents: the vocabulary. (2) What AI can do and what it cannot. (3) Responsible-AI principles: fairness, transparency, accountability, privacy, safety, human oversight. (4) Anthropic 4D: Delegation, Description, Discernment, Diligence. (5) The judgment call: when to use AI, when not. (6) Your role, your organization, and the laws that apply: EU AI Act Article 4, NIST AI RMF GOVERN, your employer's policy.

Out of scope: model training, cloud architecture depth, MLOps, SDK code, regulatory legal interpretation. Those belong in the cert tracks at /learn, not in literacy. By the end you can pass the AI-literacy section of any major vendor exam blueprint and walk into an Article-4-compliant workplace ready.

Lessons

9 lessons in this micro-course