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Text coursebeginner51 min5 chaptersEnglish

Generative AI: A Practical Foundation

A written course in five chapters. Build an accurate mental model of how generative AI works, learn the prompting habits that survive model changes, ground answers in your own documents, verify output proportionately, and turn all of it into a workflow you actually keep.

Instructor: HIMEXA Editorial

What you'll learn

  • Explain what generative AI does accurately enough to predict when it will fail
  • Write prompts that produce usable output on the first attempt
  • Get grounded, checkable answers from your own documents
  • Verify output in proportion to what happens if it is wrong
  • Build a repeatable workflow instead of one-off experiments

Chapters

Read in order, or jump to the chapter you need. Nothing is locked — this course is free to read.

  1. What Generative AI Actually Is9 min readA working mental model of what these systems do — accurate enough to predict when they will help you and when they will let you down.
  2. Prompting That Works11 min readFive components that turn a vague request into a usable first answer, and why negative constraints do more work than clever phrasing.
  3. Working With Your Own Material10 min readHow to get grounded, checkable answers from your own documents — and why this is where generative AI is genuinely most reliable.
  4. Verification and Limits10 min readA proportionate verification habit, the failure modes worth knowing by name, and where these tools should not be used at all.
  5. Building a Workflow You Will Keep11 min readTurning scattered experiments into a repeatable system — and choosing what to hand over versus what to keep.

Requirements

  • No technical background needed
  • A free account with any AI assistant, to try the exercises