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AIL 201 · For everyone, in depth

AI Literacy: Practitioner

The same ground in depth: agents, the AI supply chain, bias, security, the EU AI Act, and how to keep shadow AI out of your own team.

21 lessons · about 87 min · quiz · certificate

Course outline

Lessons

Module 1How AI works3 lessons · 10 min

  1. 1.1What we mean by artificial intelligenceWhat counts as an AI system under the EU AI Act1:54
  2. 1.2How machine learning worksHow a model turns past examples into predictions · Knowledge cutoffs, new situations and biased data · Why the output of a large model is hard to explain3:27
  3. 1.3Generative AI and large language modelsHow a language model learns to write fluently · What each assistant feature adds and where it fails · Why test scores reward models for guessing · Which jobs suit AI and which claims to check4:39

Module 2AI inside the organization3 lessons · 14 min

  1. 2.1AI agents and autonomous systemsWhat an agent does and why its access matters · How a coding agent deleted a production database · Setting limits and approvals before an agent runs4:05
  2. 2.2The AI you don't seeWhat shadow AI is and where it comes from · Personal AI accounts and AI in updates · Homemade agents and forgotten AI · AI servers with no security review · How you can prevent, spot and report shadow AI5:44
  3. 2.3The AI supply chainProvider and deployer duties under the AI Act · Why buying an AI tool keeps you accountable · What to ask a vendor before any data goes in4:13

Module 3Bad outputs3 lessons · 10 min

  1. 3.1How AI failsWhy AI failures follow from how a model predicts1:18
  2. 3.2Bias and discriminationWhere bias enters a model before anyone uses it · Proxies for protected traits and the law · Why precise definitions of fairness can conflict · How to report bias and protect decisions about people4:48
  3. 3.3Hallucination, confabulation and unreliabilityHow AI invents sources, figures and quotations · Why citations and reasoning steps can mislead · Automation bias and how to check at the source4:04

Module 4Exposed data and attacks2 lessons · 10 min

  1. 4.1Privacy and data protectionWhere data goes in a personal or work account · What files, note-takers and shared links expose · How GDPR applies to personal data in AI tools · Using an AI tool safely on real work data4:41
  2. 4.2Security risksHow prompt injection hides commands in content · Real flaws that let hidden instructions leak data · Data poisoning, model copying and AI-run attacks · Reviewing AI code and limiting what assistants do4:55

Module 5Hidden decisions and synthetic harm3 lessons · 10 min

  1. 5.1Transparency and explainabilityWhen and how to explain a decision made with AI · What GDPR and the AI Act say about explanations2:56
  2. 5.2Synthetic content and the second-channel ruleDeepfake fraud and how to confirm a request · Labeling rules and the deepfake ban3:12
  3. 5.3When AI is used about youWhat to ask about an AI decision that affects you · Your rights against solely automated decisions · Emotion recognition at work4:15

Module 6Supervise the tool2 lessons · 10 min

  1. 6.1The supervisor mindsetWhy you answer for work that AI helped you write · What to check before you sign off on AI work · How mostly right AI work slips past a review · Supervising an agent during and after a task4:40
  2. 6.2Using AI well at the keyboardHow to brief an AI tool like a new colleague · Checking each fact in an AI draft at its source · When a rule blocks you and what personas add · Copyright, confidentiality and saying that AI helped5:24

Module 7Follow the system3 lessons · 12 min

  1. 7.1What AI regulation means for youWhy the EU AI Act exists and who it applies to · Bans, high-risk duties and transparency rules · When each part of the AI Act starts to apply · What the AI literacy duty asks and what falls to you5:00
  2. 7.2How to work within your organization's rulesWhere to find your AI policy and what it covers · How lawyers filed fake case law despite a policy · What to do when your AI policy is silent or wrong3:33
  3. 7.3When and how to escalateRed flags, yellow flags and when to report each · What to put in a report and where to send it · Reporting without blame and where else to turn3:35

Module 8Prevent shadow AI in practice2 lessons · 10 min

  1. 8.1Preventing shadow AIWhat shadow AI costs and how to prevent it · Approved AI tools and an up-to-date AI inventory · How new AI tools and features get approved · Finding AI that is missing from the inventory5:35
  2. 8.2AI in your real workflowChecking an AI feedback summary before a rating · Outdated terms and an exposed file in a summary · When an agent asks for more access than it needs · Recording each case and earning your certificate4:36
  1. Final quizOpens when every lesson is done.
  2. CertificateA dated record of completion, issued when you pass the quiz.