
What AI literacy means, why your employer enrolled you, and what you'll be able to do by the end of the course.
Article 4 in one sentence: if your company uses AI, staff must understand it. It has applied since February 2025 and is enforced from August 2026 by national authorities.
How the course works: ten sections, a scenario quiz per section, the Playbook you build as you go, and the training record that evidences your AI literacy.
AI is a pattern machine, not a mind - brilliant and fast, but with no judgment and no memory of yesterday. The Intern recurs all course.
Rules-based software follows rules people write; AI writes its own rules from data.
Training means adjusting a model to fit patterns in many examples - no hand-written rules, and no math.
Spam filters, autocomplete, transcription, CV screeners - you have been an AI deployer for years without noticing.
Large language models work by predicting the next word, one at a time. Everything else follows from that.
Fluency is not accuracy. The model is optimised to sound right, not to be right.
Training data is the internet, with its age, errors, and biases baked in.
Deepfakes are next-pixel prediction. If it can be described, it can be faked.
First-draft work - drafts, summaries, translations, brainstorms - is where AI is strongest.
Role-specific literacy: the concrete AI use-cases and risks for your own job.
AI proposes, you decide. Keeping a human in the loop is the single most load-bearing habit.
Hallucination is confident invention (Mata v. Avianca, 2023). Verify anything checkable.
Air Canada: your company owns and is accountable for what its AI says.
AI does not remove human bias (Amazon) - it photocopies it at scale.
Knowledge cutoffs make AI stale; overreliance quietly erodes your own skills.
A prompt can be a disclosure. Whatever you paste may leave your control.
Free tools often learn from what you submit (Samsung). Know your company approved tools.
Unapproved AI tools are invisible risk. Surface them to IT; do not hide them.
Never paste customer PII, credentials, contracts, source code, or health data into public AI tools.
Deepfake video calls are a business weapon now (Arup, $25M lost). A familiar face is not proof.
"Look for typos" is dead advice. Check intent and channel, not grammar.
Verify sensitive requests out-of-band, use code words, and slow down - slow is safe.
The AI Act four tiers in one ride: Minimal, Transparency, High-risk, and Prohibited.
Prohibited practices: social scoring, manipulative AI, workplace emotion recognition, and face-scraping.
Hiring, credit, admissions and critical infrastructure: allowed but heavily supervised, with human oversight.
Chatbots must disclose they are bots; synthetic media must be labelled.
Verify, Protect, Disclose, Watch for bias, Stay in the loop - the whole behaviour change in five stamps.
Give AI context, constraints, and examples - brief it like you would brief a person.
Keep final legal, medical, financial and personnel judgment - and anything you cannot verify - human.
One workday where every rule fires in sequence - email triage, a draft, a fake call, a risky paste.
Article 4 evidence: a role-based training record with dates and a refresh cadence. No certificate required.
This course contains the use of artificial intelligence. The animated visuals and voice narration are AI-generated; every lesson is scripted, fact-checked and quality-reviewed by the instructor.
AI is already part of your workday — in your inbox, your documents, your meetings, and the tools your company relies on. Under the EU AI Act (Article 4), organisations must ensure the people who use AI actually understand it. This course delivers exactly that: clear, practical AI literacy for every employee, with no jargon and no technical background required.
Through short, friendly lessons built around a recurring cast and real-world case files, you'll go from "AI is magic" to a genuine, confident understanding of what these tools do, where they help, and where they fail.
What you'll cover:
What AI and generative AI really are — a pattern machine, not a mind
Where AI genuinely helps, and the all-important human-in-the-loop habit
How AI fails: hallucination, bias, and stale knowledge
Protecting confidential data, spotting shadow AI, and the never-paste list
AI-powered deception: deepfake video calls and flawless phishing
The EU AI Act in plain language — the four risk tiers and your duties
Your personal AI Playbook: Verify, Protect, Disclose, Watch for bias, Stay in the loop
Every section ends with a short, scenario-based quiz, and the whole course doubles as training-record evidence for Article 4 compliance.
Whether you work in HR, finance, marketing, operations, support, or management, you'll finish able to use AI at work safely, effectively, and responsibly.