AI beginner tutorials and a prompting learning path

Understand AI capabilities and limits, learn prompting, organize context, and verify answers through practical introductory tasks.

Who is this for, and how should you start?

For first-time AI users and learners who have tried tools but cannot consistently produce usable results. Start with a work task instead of model training.

What should an AI beginner learn first?

Choose a task with clear inputs and outputs, such as summarizing public material. State the goal, available evidence, constraints, and checks before asking AI to complete it. Separate generated content from verified facts: fluent language does not establish correctness.

How can a prompt become an actionable task?

Specify the goal, input, constraints, and acceptance criteria. When organizing material, require a source for each conclusion and an explicit unknown when evidence is missing. If the first result is poor, inspect missing conditions or context, change one issue, and retain the comparison.

What evidence demonstrates beginner capability?

Keep actual inputs, steps, results, and verification records. Identify at least one error or limitation and explain a correction. Lessons and introductory assessment help plan your next step; independent certification requires real projects and review, rather than an automatic score.

Learn in sequence

12 learning units are available. Read, practice, and keep your verification records.

  1. AI capabilities and limitationsL1 · About 12 min
  2. Common tools and work scenariosL1 · About 15 min
  3. Using AI versus building AI applicationsL1 · About 18 min
  4. Plan your learning journeyL1 · About 21 min
  5. Define goals and acceptance criteriaL2 · About 12 min
  6. Organize material and contextL2 · About 15 min
  7. Break down tasks and iterateL2 · About 18 min
  8. Build reusable task templatesL2 · About 21 min
  9. Identify unsupported answersL2 · About 12 min
  10. Verify material and sourcesL2 · About 15 min
  11. Sensitive material and usage boundariesL2 · About 18 min
  12. Evaluate quality, time, and costL2 · About 21 min

Test your methods in a project

From working code to verified delivery. Follow the project steps and verify actual deliverables.

Build trust in AI-generated code

Common learning questions

Do beginners need to know programming?

You can begin with information organization without coding. Building applications for others requires gradually learning APIs, data processing, permissions, and deployment.

Is prompting enough?

Prompting is a starting point. You also need to select context, verify sources, handle sensitive material, and compare quality and cost on the same tasks.

Current material consists mainly of self-study text, examples, and workshops. Learning records, diagnostic advice, and independent certification are separate. Employment and automatic certification are not promised.