SELF-PACED LEARNING · FOR INDIVIDUALS
Start with the fundamentals or explore more advanced ideas. Each sample course has a short preview, clear lessons, and no assumed industry or technical background.
Proposed sample catalog: course copy and prices are placeholders for review.
Get a clear picture of what modern AI can do, where it falls short, and how to begin using it thoughtfully.
Start with a plain-language look at how a language model responds to the words and context you give it.
Turn a vague request into a useful brief with a goal, audience, context, and a format you can review.
A reliable prompt starts by saying what you need and who the result is for—not by adding magic words.
Use AI to organize questions and source material while keeping evidence, uncertainty, and attribution visible.
Treat a generated summary as a map back to sources, not as a replacement for reading the evidence.
Make a repeatable, low-risk process around a task you already understand, with a clear human review step.
A useful workflow starts with a task you can evaluate and ends with a person checking the result.
Plan multi-step AI-assisted systems with explicit boundaries, human handoffs, and tests for failure cases.
Reliability begins by deciding which parts can be automated and where a person must stay in control.
Understand the parts of a small language-model feature: inputs, structured outputs, evaluation, and operational limits.
A model call is one part of a feature; the surrounding validation and evaluation determine how safely it can be used.