Understanding AI
A practical, non-technical guide to understanding how AI works, what it's good at, where it fails, and how to think about it clearly.
49 min · 15 pages · practice task · quiz · part of Work with AI
Sponsor this courseWhat you will be able to do
Skills you add to your Herizon profile when you finish: AI literacy.
- What AI actually is, and why "AI" means very different things depending on context
- How language models (like ChatGPT and Claude) generate responses
- Where AI works well and where it consistently fails
- How to tell different AI tools and models apart
- How to think about privacy, bias, and accuracy when using AI
- How to evaluate AI claims from vendors and news articles
- Practical steps for using AI effectively at work
Who it is for
Anyone who uses AI tools or makes decisions about AI at work. No technical background needed. If you can use a web browser and write an email, you have all the skills required.
The situation you work through
Leila, a marketing coordinator in Helsinki, uses AI tools through one week of job hunting and one small task at her current job.
Your practice task
Test-drive two free AI tools on one real job ad. Make a one-page log with four parts: the exact prompt you used, the AI draft, a table of every factual claim the tools made about the employer marked verified or not verified with the source you checked, and your own final opening paragraph with notes on what you changed and why. Submit the log as evidence.
What is inside
- What people mean when they say 'AI'
- How language models actually work
- What AI is good at
- Where AI fails
- The AI landscape: models and companies
- AI tools for different work tasks
and 9 more pages
Finish with a short quiz to earn your certificate.
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