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Free course · for working professionals

AI For Everyone (AI4E)

Thirty-five short lessons that take you from wherever you stand to AI Ready: what AI can and cannot do, how it actually works, and how to use the tools on your own real work. Every lesson has a narrated video, the full text on the page, audio you can listen to like radio, and a self-check with the answers in the open.

Start with Welcome to AI For EveryoneBrowse Part 1Browse Part 2Browse Part 3

Have a pAIRI result? Turn it into a reading plan

Your pAIRI report carries a link to this page with your fifteen dimension levels already encoded. Open that link and a suggested order appears here, focused on your gaps. You can also paste your report text below. The levels line is enough, even from a printed copy. Either way this stays on your device: the plan is computed in your browser, nothing is sent anywhere, and nothing is stored beyond this tab.

No result yet? Take pAIRI at airihub.io. It is free, and the course works fine without it.

Your progress lives in this browser

Mark lessons complete as you go; this browser remembers them. To carry progress to another device, copy the resume link below and email it to yourself. Opening it restores every completed lesson from the link alone. There is no account and nothing is stored on this site.

Completed:0 of 35

Make the examples yours

Use cases from your industry and role

The "AI in Your Work" section in each lesson then shows a use case matched to this profile. It stays in this browser, nothing is sent anywhere, and every lesson works fine without it.

The course, in three parts

Part 1 · Know Your AI Readiness

15 lessons · one per readiness dimension

Fifteen short primers, one for each dimension the Personal AI Readiness Index measures. Each primer shows what AI Ready looks like on that dimension so your result becomes something you can act on.

  1. 1.Mindset · What AI Can and Cannot Do
  2. 2.Mindset · Keeping Up With AI
  3. 3.Mindset · Where AI Fits in Your Role
  4. 4.Mindset · Handing Work to AI
  5. 5.Mindset · Trying AI on New Problems
  6. 6.Ethics · Spotting Ethical Issues in AI
  7. 7.Ethics · Knowing the Risks
  8. 8.Ethics · Checking AI's Work
  9. 9.Value · Finding Your AI Use Cases
  10. 10.Value · Saving Real Hours With GenAI
  11. 11.Data · What Good Data Looks Like
  12. 12.Data · Working With Data Day to Day
  13. 13.Tools · Using AI Tools and Agents
  14. 14.Tools · Writing Clear Instructions for AI
  15. 15.Tools · Producing Real Work With AI

Browse Part 1

Nine plain-language lessons on what AI is, how models learn from examples, and where they reliably fail. No maths, no code, no jargon without a definition.

  1. 16.What AI Actually Is (Not Magic, Not Movies)
  2. 17.How AI Models Are Trained (The Hokkien Mee Analogy)
  3. 18.Predicting Numbers: Regression
  4. 19.Sorting Into Categories: Classification
  5. 20.Finding Patterns Without Labels: Clustering
  6. 21.Computer Vision: How Machines See
  7. 22.Generative AI: How It Actually Works
  8. 23.Data Is Everywhere (Documents, Emails, Spreadsheets)
  9. 24.AI Has Limitations (Hallucinations, Bias, Errors)

Browse Part 2

Nine hands-on lessons: choosing a tool, prompting, specification thinking, agents, deep research, visuals and analysis. You practice on your own real work.

  1. 25.The AI Tool Landscape (and Choosing the Right One)
  2. 26.Prompting as a Professional Skill
  3. 27.Structured Prompting (Specification Thinking)
  4. 28.Building Your First AI Skill/Agent (No Code)
  5. 29.Agentic AI Workflows
  6. 30.Creating Visuals and Presentations with AI
  7. 31.Deep Research for Evidence-Based Decisions
  8. 32.AI-Powered Analysis Without Coding
  9. 33.Document Synthesis and Data-Driven Decisions

Browse Part 3

Closing lesson

Wrap Up · Your AI Ready Review

Read your own Part 3 record back, write a short reflection, and decide what you keep doing. Nothing is graded and nothing is submitted; the measure of the course is your own before-and-after.

What you do not get

The course is free, so there is no fee and no grant to apply for. What you also do not get is a badge, or an email nudging you back when you go quiet. Nothing here records your progress, and nobody here watches. That is deliberate.

This course is written for self-directed learners, working professionals who are serious about the skill and are not moved by cheap incentives. Badges hold attention for a few weeks. AI Ready takes longer: it means using AI on real work, with your own judgement in the loop, until it is simply how you work. No incentive that small carries anyone that far. If the skill is what you are after, the course will meet you where you stand.

If you take pAIRI before the course and again after it, the movement between your two results is the outcome. Complete every lesson and that movement is yours to keep:your record of completionprints your two radar charts side by side. No one verifies it and no one needs to. It carries the outcome, and the outcome is yours.