Course · AI for Productivity

AI Literacy

Understand AI, ask for useful help, check its answers and stay in control.

  • 1 free lesson every day
  • Verifiable certificate on completion
  • From AI-Curious up to AI-Literate
  • Personalized to you

Start learning today

Free to start — your first lesson is 5 minutes.

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Learn in your language

AI literacy, explained clearly in 16 languages

The interface, explanations and Kai’s guidance adapt to your language. Focus on the ideas and decisions, not on translating unfamiliar terms.

EnglishSrpskiHrvatskiУкраїнськаБългарскиRomânăDeutschEspañolFrançaisTürkçePolskiItalianoTiếng ViệtPortuguêsРусскийქართულიBahasa Indonesia

Why AI still feels uncertain

Using AI is easy. Knowing when to trust it is harder.

Answers sound more certain than they are

AI can produce polished explanations with unsupported claims, invented details or missing context.

Prompt advice feels needlessly complicated

You have seen long templates and supposed prompt formulas when you only need to ask a clear, useful question.

Practice rarely matches real decisions

Generic demonstrations do not prepare you to handle sensitive information, synthetic media or an answer you may act on.

You are left to judge the output alone

Many introductions show what AI can generate but not how to verify it, revise it or decide whether to use it.

Your AI literacy journey

See where you are now—and what comes next

This foundation follows one sequence of 12 lessons. The ladder describes your growing practical confidence, not technical qualifications.

Which description sounds most like you today?

Today
1 month
Mastery
AI-CuriousTask-AwarePrompt-ReadyAnswer-CheckingControl-MindedAI-Literate

Today

You have heard about AI but are unsure what it does, where it appears or which tasks suit it.

In 1 month

You can recognize common AI uses and decide whether a simple task is suitable for AI help.

At mastery

You can ask for help, check important claims and make responsible decisions before using or sharing output.

Build an AI habit based on judgment, not guesswork

Start with a short foundation you can apply to everyday life, study and work.

How it works

From your starting point to assessed AI literacy

Complete the 12 lessons in order, with short explanations, scenarios and two practical tasks using an AI assistant of your choice.

Find your starting point

A brief check records what you already understand about AI, prompting, verification and responsible use.

Learn with Kai in short sessions

Work through focused lessons with examples, questions and kind guidance. Ask Kai whenever an idea or answer is unclear.

Verify what you learned

Brief checks assess the course outcomes. Your shareable certificate records assessed course learning, not professional competence.

Example course certificate

Inside the lessons

Practice the decisions that matter when using AI

Each activity connects AI concepts to choices you may face at work, in study or in everyday life.

Interactive knowledge checks

Decide which tasks suit AI, which inputs should stay private and which claims need verification.

Worked examples

See how a vague request becomes clearer, then compare the first answer with a reviewed and revised version.

Scenario practice with Kai

Work through fictional situations involving unsupported claims, missing perspectives, synthetic media and responsible sharing.

Hands-on prompt exercises

Complete two brief tasks in an AI assistant of your choice: ask for useful help, inspect the result and improve it.

Spaced review

Revisit essential checks before they fade, including source verification, input protection and responsibility for final actions.

Guidance that responds to you

Kai focuses on the judgment you need to practise

Your explanations and practice adapt without changing the course’s four-part foundation.

The Kampster engine

Your knowledge gaps

Kai notices whether you need more support with AI basics, clear requests, verification or responsible use.

What you may forget

Important checks return at useful moments so they become part of how you handle AI output.

Your questions

Ask for another explanation or example without holding up a class or pretending you understand.

Your real situations

Relate the ideas to a study task, workplace request, everyday decision or piece of media you need to assess.

4 modules · 12 lessons

A focused foundation that arrives in a clear sequence

Start by understanding AI. Then learn to get useful help, check before you trust and stay in control. Each three-lesson module prepares you for the next, so you are not handed every concept at once.

01

Understand AI

Recognize everyday AI, explain how generated answers differ from verified information, and choose a suitable task.

02

Get useful help

Protect inputs, ask a clear question and improve an answer through one short review-and-revision cycle.

03

Check before you trust

Recognize unsupported claims, verify important details with evidence and notice missing perspectives.

04

Stay in control

Verify synthetic media, make responsible sharing decisions and apply a practical checklist before using AI output or authorizing an action.

Bring your own situation

Create a focused practice lesson when you need one

Ask for a custom lesson in about 30 seconds. Try: “Check an AI summary for unsupported claims”; “Help me protect data in this prompt”; “Assess whether this image may be synthetic”; “Improve my study prompt”; or “Should I share this AI-generated answer?”.

Check an AI summary for unsupported claims

Whatever’s coming up — the lesson exists before your coffee’s ready.

Questions before you begin

What to expect from AI Literacy

No. The course starts with everyday AI and assumes no coding, data science or professional AI experience.

Allow about 60–90 minutes for all 12 lessons, including two brief practice tasks. You can split the sequence into short sessions of roughly five minutes.

No. For the two external practice tasks, use an AI assistant of your choice. The tasks focus on transferable habits: protecting inputs, asking clearly, reviewing answers and checking claims.

No. It teaches a practical foundation: choose a suitable task, ask clearly and improve an answer through one short review-and-revision cycle.

It records completion backed by checks of the course’s learning outcomes. It shows that you demonstrated this foundation; it does not certify professional competence.

No. AI can still produce inaccurate, unsupported or incomplete answers. You learn how to notice warning signs, verify important details and remain responsible for what you use, share or authorize.

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AI Literacy leaderboard

See who is building careful, practical AI habits

The leaderboard recognizes learners progressing through the same 12-lesson foundation and its assessed checks.

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Use AI without handing over your judgment

Learn what AI can do, ask for useful help, check its answers and stay in control.

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