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A Four-Week AI Learning Plan for Beginners

Set aside three 30-minute sessions each week. You do not need to master every tool. Choose one assistant available to you and finish with a small, documented task you can explain and reproduce.

My DYAP →

Week 1: understand and ask clearly

Session 1: read the introductory AI foundations lesson and explain in your own words why a fluent answer may be wrong. Session 2: ask for help with a non-sensitive task using a vague prompt, then repeat with a clear audience, task and output format. Session 3: compare the two outputs.

Deliverable: one reusable prompt and a short note explaining which constraints improved it. Example task: turn a fictional meeting note into an action table without inventing owners or deadlines.

Week 2: verify what matters

Session 1: identify three factual claims in an AI explanation. Session 2: verify each using a primary source or independent calculation. Session 3: rewrite the explanation with corrections and unresolved points clearly marked.

Deliverable: a claim-and-evidence log. Success means every important claim is supported or explicitly marked unverified; it does not mean the AI produces no mistakes.

Week 3: build a safe workflow

Session 1: choose a repeatable task such as lesson planning or summarising public material. Session 2: map inputs, draft, checks and approval. Session 3: try the workflow on two synthetic examples.

Deliverable: a one-page process with a human review step. Record what data is allowed, what the tool must not do and how you recognise an unacceptable output.

Week 4: complete a small project

Session 1: produce a lesson activity, public-source briefing or template pack. Session 2: check it against a simple rubric: accuracy, usefulness, clarity and responsible data use. Session 3: revise and write a short reflection.

Deliverable: a before-and-after example, reusable prompt, evidence log and limitations note. Keep confidential workplace material out of any public portfolio.

Measure progress without chasing tools

Record the time spent on drafting and on verification separately. If AI saves ten minutes of drafting but adds twenty minutes of correction, revise the workflow or choose a better-suited task.

You are ready for a harder project when you can explain the task, reproduce the result, identify its limitations and demonstrate how you checked it. A certificate or polished output alone does not show those abilities.

Choose your next step

Teachers can continue to the lesson-planning guide. Professionals handling information can focus on verification and security. Learners interested in technical concepts can work through the full foundations track. Repeat a weak step before adding more tools.

Reusable prompt

Select and copy this template, or customise your own using the free builder.

Help me plan a small AI learning project for [role]. I have three 30-minute sessions per week for four weeks. Use only public or synthetic material. Define weekly deliverables, checks for accuracy and privacy, and a final reflection. Keep the scope realistic and do not promise a qualification or job outcome.
Open the prompt builder →

Pause · Think · Check

Test your understanding

Choose one answer per question, then check your reasoning. This is practice; scores are not saved.

1. Which activity best demonstrates progress?
2. What is a useful record to keep?

Answer every question to check your results.

Sources and further reading

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