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Practical AI

AI Foundations and Language

Understand models, context, uncertainty, and the difference between an answer and an action.

Modules
2
Lessons
6
Estimated time
About 3 hours of lessons
Before you start
For noncoders. No external AI account needed.

Times are planning estimates from each lesson's stated length, not measured completion times.

Reading and practice are open to everyone. Saving your progress needs an account with access to this course.

What the practice looks like

Practical AISample from Practical AI starting checks
Notice: The workshop includes a workbook. It says nothing about refreshments. Draft: “Refreshments are included.”

Would you keep, revise, or leave the claim unresolved? Explain using the notice.

See the evidence check

Refreshment inclusion is unresolved. A workbook does not establish it, and silence does not prove exclusion. Request confirmation or report the missing information.

Course roadmap

Modules are in the recommended order, and every lesson is open from day one.

  1. Systems and context

    Practice and explain judgments about systems and context.

    1. AI systems, models, and applicationsStart here25 min
    2. Training, inference, and learned patterns25 min
    3. Tokens, context, and missing attachments25 min
  2. Capabilities and uncertainty

    Practice and explain judgments about capabilities and uncertainty.

    1. Variation, confidence, and unsupported answers25 min
    2. Search, retrieval, tools, and agents25 min
    3. Safe inputs and human review boundaries25 min

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